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d4091693-a614-453b-a58c-a64c9e63a378
To the first order, \(G(h)\psi = |\nabla |\psi \) (see Theorem 2.1.1 in [1]}), so the linearization of (REF ) is \({\left\lbrace \begin{array}{ll}h_t = |\nabla |\psi ,\\\psi _t = -h,\end{array}\right.}\)
[1]
[ [ 73, 76 ] ]
https://openalex.org/W1584473947
cd0c35ad-91fd-48d6-9d97-be6b45e30bd1
This reveals the dispersive nature of the equation and suggests that it is amenable to \(L^2\) energy estimates and \(L^\infty \) decay estimates. Indeed, energy estimates has been worked out in [1]} and we only need to quote their results in Proposition REF below. It roughly says \(\frac{d}{dt}\Vert u\Vert _{H^s}^2 \lesssim \Vert u\Vert _{H^s}^2\Vert u\Vert _{C^r}^2.\)
[1]
[ [ 197, 200 ] ]
https://openalex.org/W1584473947
280e3415-584f-4f67-9f0c-5b48cb6c4b06
While the whole structure of the proof resembles that in [1]}, here we aim not only to improve on known results on lifespans of two dimensional water waves, but also to show that the framework established in [1]} is easily adaptable, and specifically, that the wealth of estimates already present in the literature, for example [3]}, [4]}, can be readily assembled to yield a short proof of previously inaccessible results.
[3]
[ [ 328, 331 ] ]
https://openalex.org/W1584473947
77c06042-080e-46e3-8ad2-f33f2430079d
While the whole structure of the proof resembles that in [1]}, here we aim not only to improve on known results on lifespans of two dimensional water waves, but also to show that the framework established in [1]} is easily adaptable, and specifically, that the wealth of estimates already present in the literature, for example [3]}, [4]}, can be readily assembled to yield a short proof of previously inaccessible results.
[4]
[ [ 334, 337 ] ]
https://openalex.org/W2592223562
e4643065-529e-4d0e-ab78-23b8fe765bc9
It should be added however, that in the energy estimates, one can have three factors of \(L^\infty \) norms on the right-hand side of (REF ), using additional integrability in two dimensions [1]}, [2]}, but this extra saving does not easily carry over to dispersive estimates, because the trivial four wave resonances (\(\sqrt{|\xi _1|} + \sqrt{|\xi _2|} - \sqrt{|\xi _1|} - \sqrt{|\xi _2|} = 0\) ) lead to modified scattering [3]}. Controlling this effect seems to require more regularity in the frequency space, i.e., weights in the physical space, which is out of the scope of this paper.
[1]
[ [ 192, 195 ] ]
https://openalex.org/W2898175050
7b842127-da55-487f-957c-680f8fefd983
It should be added however, that in the energy estimates, one can have three factors of \(L^\infty \) norms on the right-hand side of (REF ), using additional integrability in two dimensions [1]}, [2]}, but this extra saving does not easily carry over to dispersive estimates, because the trivial four wave resonances (\(\sqrt{|\xi _1|} + \sqrt{|\xi _2|} - \sqrt{|\xi _1|} - \sqrt{|\xi _2|} = 0\) ) lead to modified scattering [3]}. Controlling this effect seems to require more regularity in the frequency space, i.e., weights in the physical space, which is out of the scope of this paper.
[2]
[ [ 198, 201 ] ]
https://openalex.org/W2916835505
f5c1fa46-6649-47a4-b31e-28c3c9b38e43
It should be added however, that in the energy estimates, one can have three factors of \(L^\infty \) norms on the right-hand side of (REF ), using additional integrability in two dimensions [1]}, [2]}, but this extra saving does not easily carry over to dispersive estimates, because the trivial four wave resonances (\(\sqrt{|\xi _1|} + \sqrt{|\xi _2|} - \sqrt{|\xi _1|} - \sqrt{|\xi _2|} = 0\) ) lead to modified scattering [3]}. Controlling this effect seems to require more regularity in the frequency space, i.e., weights in the physical space, which is out of the scope of this paper.
[3]
[ [ 428, 431 ] ]
https://openalex.org/W2141636416
e7e6b63b-db2e-4e39-9bb8-39d4cc281955
Definition 3 (See (4.35)–(4.37) in [1]}) \(\begin{aligned}G(h)\psi &= |\nabla |\psi + \int _0^1 \partial _sG(sh)\psi ds,\\\partial _sG(sh)\psi &= -G(sh)[hB(sh)\psi ] - (hV(sh)\psi )^{\prime },\\B = B(h)\psi &= \frac{G(h)\psi + h^{\prime }\psi ^{\prime }}{1 + h^{\prime 2}},\\V = V(h)\psi &= \psi ^{\prime } - h^{\prime }B(h)\psi .\end{aligned}\)
[1]
[ [ 35, 38 ] ]
https://openalex.org/W3133514565
fe8b5628-2045-4ec2-bf6c-02016d1c07e7
Lemma 1 (Lemma 2.0.5 in [1]}) Let \(\gamma > 3\) be such that \(2\gamma \notin {\mathbb {Z}}\) . Then for all \((h, |\nabla |^{1/2}\psi ) \in C_*^\gamma \times C_*^{\gamma -1/2}\) such that \(\Vert h^{\prime }\Vert _{C_*^{\gamma -1}} + \Vert h^{\prime }\Vert _{C_*^{-1}}^{1/2}\Vert h^{\prime }\Vert _{H^{-1}}^{1/2} \le c_r\) , we have \(\Vert G(h)\psi \Vert _{C_*^{\gamma -1}} + \Vert B\Vert _{C_*^{\gamma -1}} + \Vert V\Vert _{C_*^{\gamma -1}} \lesssim _r \Vert |\nabla |^{1/2}\psi \Vert _{C_*^{\gamma -1/2}}\) .
[1]
[ [ 24, 27 ] ]
https://openalex.org/W1584473947
d42ecf77-9900-4d83-aa8c-e5b397f7fb6e
By Remark REF we can assume that \(\psi \) is Schwartz. By Remark REF we have the necessary smallness condition to apply Theorem 2.1.1 in [1]} to get \(\begin{aligned}\Vert (G(h)\psi , B, V)\Vert _{H^{s-1}}&\lesssim _{\Vert h\Vert _{C_*^\gamma }} \Vert |\nabla |^{1/2}\psi \Vert _{C_*^{\gamma -1/2}}\Vert h\Vert _{H^s} + \Vert |\nabla |^{1/2}\psi \Vert _{H^{s-1/2}}\\&\lesssim \Vert |\nabla |^{1/2}\psi \Vert _{H^{s-1/2}}\end{aligned}\)
[1]
[ [ 141, 144 ] ]
https://openalex.org/W1584473947
60295d07-6e1f-45d8-8822-01baf39489f2
By Remark REF we can assume that \(\psi \) is Schwartz. By Remark REF we have the necessary smallness condition to apply (2.5.1) in [1]} to get the bound for \(G(h)\psi \) . To get the other bound, we also need the expression of \(B = B(h)\psi \) in (REF ), the Sobolev multiplication theorem and the smallness of \(\Vert h\Vert _{H^s}\) .
[1]
[ [ 135, 138 ] ]
https://openalex.org/W1584473947
4df80c15-afa4-4476-963c-6bdd082d0c84
Here we collect the assumptions on which Chapters 1–3 of [1]} are based.
[1]
[ [ 57, 60 ] ]
https://openalex.org/W1584473947
dc6a2efb-1f2b-46fc-bb3c-9e2f673f1cd6
Definition 4 (Definition A.1.2 of [1]}) Define \(w = \psi - T_Bh\) , where \(\widehat{T_fg}(\xi ) = \int _{\xi _1+\xi _2=\xi } \varphi (\xi _1, \xi _2)\hat{f}(\xi _1)\hat{g}(\xi _2)d\xi \)
[1]
[ [ 34, 37 ] ]
https://openalex.org/W1584473947
c549a5d9-d324-4183-9e00-18a7c920123d
Assumption 1 (Assumption 3.1.1 (i) in [1]}) \((h, |\nabla |^{1/2}\psi ) \in C([0, T], H^s \times H^{s-1/2}\) and \(|\nabla |^{1/2}w \in C([0, T], H^s)\) .
[1]
[ [ 38, 41 ] ]
https://openalex.org/W1584473947
e79d1a25-b8f0-4841-9ebf-b69f8391fd67
Assumption 2 (Assumption 3.1.1 (ii) in [1]}) \(\sup _{t\in [0,T]} (\Vert h^{\prime }\Vert _{C_*^{\rho -1}} + \Vert h^{\prime }\Vert _{C_*^{-1}}^{1/2}\Vert h^{\prime }\Vert _{H^{-1}}^{1/2}) \le c_{s,\rho }\text{ is small enough}\)
[1]
[ [ 39, 42 ] ]
https://openalex.org/W1584473947
a0d65d71-e032-4c07-90a1-6467bd02fb10
Remark 4 By the remark after Assumption 3.1.1 in [1]}, Assumption REF is guaranteed if \(\sup _{t\in [0,T]} \Vert h\Vert _{C_*^\rho }\) , \(\Vert h(0)\Vert _{L^2}\) and \(\Vert |\nabla |^{1/2}\psi (0)\Vert _{L^2}\) are small enough.
[1]
[ [ 50, 53 ] ]
https://openalex.org/W1584473947
262cbd80-8f82-49ab-af7a-9450d2e1e886
Assumption 3 (Assumption 3.1.5 in [1]}) \(\sup _{t\in [0,T]} (\Vert h(t)\Vert _{C_*^\rho } + \Vert |\nabla |^{1/2}\psi (t)\Vert _{C_*^\rho }) \le c_{s,\rho }\text{ is small enough}\)
[1]
[ [ 34, 37 ] ]
https://openalex.org/W1584473947
140efdd2-dd1b-4a03-84cd-c782f1c54036
Then the arguments up to Chapter 3 of [1]} applies. In more detail, there is a change of variable \((T_ah, |\nabla |^{1/2}w) \mapsto \Phi \) satisfying \(E_s/3 \le \Vert \Phi \Vert _{H^s} \le 3E_s\) by (3.7.2) and (3.7.3) in [1]} and the quartic energy estimate \(\Vert \Phi (t)\Vert _{H^s}^2 \le \Vert \Phi (0)\Vert _{H^s}^2 + C\int _0^t (\Vert h(\tau )\Vert _{C_*^\rho }^2 + \Vert |\nabla |^{1/2}\psi (\tau )\Vert _{C_*^\rho }^2)\Vert \Phi (\tau )\Vert _{H^s}^2d\tau \)
[1]
[ [ 38, 41 ], [ 227, 230 ] ]
https://openalex.org/W1584473947
7577e678-da52-48d3-8975-1c0b83e1803c
by (3.7.7) in [1]}, from which the result now follows.
[1]
[ [ 14, 17 ] ]
https://openalex.org/W1584473947
afca9c27-d3b9-47da-8aab-5fd5a3e423dc
Let \(u = h + i|\nabla |^{1/2}\psi \) , whose evolution equation is \(u_t + i\Lambda u = N\) , where the dispersion relation \(\Lambda = |\nabla |^{1/2}\) and (see (6.1) and (4.43) in [1]}) \(\begin{aligned}N&=(G(h)-|\nabla |)\psi +\frac{i}{2}|\nabla |^{1/2}((1+h^{\prime 2})B^2-\psi ^{\prime 2})=N_2+N_3,\\N_2&=-|\nabla |(h|\nabla |\psi )-(h\psi ^{\prime })^{\prime }+\frac{i}{2}|\nabla |^{1/2}((|\nabla |\psi )^2-\psi ^{\prime 2}),\\N_3&=B_3+h^{\prime 2}B+\frac{i}{2}|\nabla |^{1/2}(B^2-(|\nabla |\psi )^2+h^{\prime 2}B^2),\\B_3&=B - |\nabla |\psi + |\nabla |(h|\nabla |\psi ) + h\psi ^{\prime \prime }.\end{aligned}\)
[1]
[ [ 185, 188 ] ]
https://openalex.org/W3133514565
1504e98a-c1c7-44ff-94df-bfb643b55860
Using integration by parts in time we get (see (6.4) to (6.6) in [1]}) \(\begin{aligned}u_2(t) &= \sum _{\mu ,\nu =\pm } \left( Q_{\mu \nu }(t) - e^{-it\Lambda }Q_{\mu \nu }(0) - \int _0^t e^{-i(t-\tau )\Lambda }C_{\mu \nu }(\tau )d\tau \right),\\\hat{Q}_{\mu \nu }(\xi , t) &= C\int _{\xi _1+\xi _2=\xi } \frac{m_{\mu \nu }(\xi _1, \xi _2)}{i\Phi _{\mu \nu }(\xi _1, \xi _2)}\hat{u}_\mu (\xi _1, t)\hat{u}_\nu (\xi _2, t)d\xi _1,\\\hat{C}_{\mu \nu }(\xi , t) &= C\int _{\xi _1+\xi _2=\xi } \frac{m_{\mu \nu }(\xi _1, \xi _2)}{i\Phi _{\mu \nu }(\xi _1, \xi _2)}(\hat{u}_\mu (\xi _1, t)\hat{N}_\nu (\xi _2, t) + \hat{N}_\mu (\xi _1, t)u_\nu (\xi _2, t))d\xi _1\end{aligned}\)
[1]
[ [ 65, 68 ] ]
https://openalex.org/W3133514565
6e5f8755-407c-4c21-92ce-04864e850a2e
It suffices to show that \(\Vert P_ke^{-it\Lambda }u\Vert _{L^4_tL^\infty _x} \lesssim 2^{3k/8}\Vert u\Vert _{L^2}\) for \(k \in {\mathbb {Z}}\) , where \(P_k\) denotes the Littlewood–Paley decomposition. Since \(\Lambda \) is homogeneous of degree \(1/2\) , the scaling \((x, t) \mapsto (2^kx, 2^{k/2}t)\) is a symmetry, so we can assume \(k = 0\) . Then the result from the standard \(t^{-1/2}\) dispersion estimates and the Hardy–Littlewood–Sobolev inequality, see Theorem 2.3 in [1]} for details.
[1]
[ [ 488, 491 ] ]
https://openalex.org/W1547431580
b3349843-e9b7-4351-8388-5ec7ae0979f3
Definition 5 (Definition C.1–C.2 in [1]}) A multiplier \(m(\xi _1, \xi _2)\) is of class \(\mathcal {B}_s\) if:
[1]
[ [ 36, 39 ] ]
https://openalex.org/W2592223562
e6775664-7b0e-4ea9-a805-2e08ee2a592c
By Section 3 of [1]}, \(m_{\mu \nu } \in \mathcal {B}_{3/2}\) and \(\Phi _{\mu \nu } \in \mathcal {B}_{1/2}\) . Hence \(m_{\mu \nu }/\Phi _{\mu \nu } \in \mathcal {B}_1\) , and can be decomposed as \(m_1 + m_2\) where \(m_j\) captures the contribution where the frequency of the \(j\) -th slot is bounded below by a (small) constant times the frequency of the other slot. Thus, for example, \(m_1 \in \mathcal {\tilde{B}}_1\) .
[1]
[ [ 16, 19 ] ]
https://openalex.org/W2592223562
be15e791-84c2-45d7-b1c6-6ea241a3ab11
Let \(Q_{\mu \nu ,j}\) be the corresponding bilinear product. Then the multiplier of \(\sqrt{1-\Delta }^\gamma Q_{\mu \nu ,1}(\sqrt{1-\Delta }^{-\gamma -1}\cdot , \cdot )\) is of class \(\mathcal {B}_0\) and by Theorem C.1 (i) of [1]} satisfies \(\Vert \sqrt{1-\Delta }^\gamma Q_{\mu \nu ,1}(\sqrt{1-\Delta }^{-\gamma -1}f, g)\Vert _{L^2} \lesssim _{p,q} \Vert f\Vert _{L^o}\Vert g\Vert _{L^q}\)
[1]
[ [ 233, 236 ] ]
https://openalex.org/W2592223562
c1a2e0a8-3aab-424f-a099-a52c9f2c8e96
Note that in (REF ), \(B_3 = B - B_{\le 2}\) as defined in (2.6.1) in [1]}. Thus we have:
[1]
[ [ 71, 74 ] ]
https://openalex.org/W1584473947
316434e3-2fb6-4f4b-a622-cc6c89a05bb1
Lemma 7 (Proposition 2.6.1 in [1]}) Let \(s, \gamma , \mu \) be such that \(s - 1/2 > \gamma > 14\) , \(s \ge \mu \ge 5\) and \(2\gamma \notin {\mathbb {Z}}\) . Then for all \((h, |\nabla |^{1/2}\psi ) \in H^{s+1/2} \times (C_*^{\gamma -1/2} \cap H^\mu )\) such that \(\Vert h\Vert _{C_*^\gamma } \le c_{s,\gamma ,\mu }\) is small enough, \(\Vert B_3\Vert _{H^{\mu -1}} \lesssim _{s,\gamma ,\mu } \Vert h\Vert _{C_*^\gamma }(\Vert |\nabla |^{1/2}\psi \Vert _{C_*^{\gamma -1/2}}\Vert h\Vert _{H^s} + \Vert h\Vert _{C_*^\gamma }\Vert |\nabla |^{1/2}\psi \Vert _{H^\mu }).\)
[1]
[ [ 30, 33 ] ]
https://openalex.org/W1584473947
d6e4b42e-b6cd-462e-9575-1e725223198e
[Proof of Theorem REF ] Since the water wave equation is locally wellposed (see [1]} for example), we only need to show a priori estimates that can be closed.
[1]
[ [ 80, 83 ] ]
https://openalex.org/W2916835505
d26f2767-356e-4e3b-8e09-b4688a4a17b8
If \(1 \le R \le \epsilon ^{-2}\) then we resort to [1]}, noting that that result carries over to the periodic case.
[1]
[ [ 53, 56 ] ]
https://openalex.org/W2916835505
60ef1e18-5e76-4bbc-a53c-6b81b3e7a4b5
The nature of dark matter (DM) is still shrouded in mystery. While a weakly interacting massive particle (WIMP) remains a simple and appealing possibility, the sheer lack of any experimental evidence for such states provides ever stronger motivation for also exploring alternative avenues. One promising direction is to consider hidden sector (HS) scenarios, which feature a DM candidate that strongly interacts with itself and potentially other dark-sector states, while only being – at best – feebly coupled to the Standard Model (SM), or more generally to the visible sector (VS).Such scenarios are further motivated as a potential solution for some of the issues that collisionless DM faces on galactic and sub-galactic scales [1]}, [2]}. Such a HS may be in thermal equilibrium with itself, but not with the VS, meaning that its temperature \(T^{\prime }\) might differ substantially from the temperature \(T\) of the VS [3]}, [4]}.
[1]
[ [ 731, 734 ] ]
https://openalex.org/W2083034637
018fc30a-a116-4604-848f-641b91e79fea
The nature of dark matter (DM) is still shrouded in mystery. While a weakly interacting massive particle (WIMP) remains a simple and appealing possibility, the sheer lack of any experimental evidence for such states provides ever stronger motivation for also exploring alternative avenues. One promising direction is to consider hidden sector (HS) scenarios, which feature a DM candidate that strongly interacts with itself and potentially other dark-sector states, while only being – at best – feebly coupled to the Standard Model (SM), or more generally to the visible sector (VS).Such scenarios are further motivated as a potential solution for some of the issues that collisionless DM faces on galactic and sub-galactic scales [1]}, [2]}. Such a HS may be in thermal equilibrium with itself, but not with the VS, meaning that its temperature \(T^{\prime }\) might differ substantially from the temperature \(T\) of the VS [3]}, [4]}.
[2]
[ [ 737, 740 ] ]
https://openalex.org/W2612559938
df1192d3-86c8-4814-8ed2-5cf56b4ff2db
The nature of dark matter (DM) is still shrouded in mystery. While a weakly interacting massive particle (WIMP) remains a simple and appealing possibility, the sheer lack of any experimental evidence for such states provides ever stronger motivation for also exploring alternative avenues. One promising direction is to consider hidden sector (HS) scenarios, which feature a DM candidate that strongly interacts with itself and potentially other dark-sector states, while only being – at best – feebly coupled to the Standard Model (SM), or more generally to the visible sector (VS).Such scenarios are further motivated as a potential solution for some of the issues that collisionless DM faces on galactic and sub-galactic scales [1]}, [2]}. Such a HS may be in thermal equilibrium with itself, but not with the VS, meaning that its temperature \(T^{\prime }\) might differ substantially from the temperature \(T\) of the VS [3]}, [4]}.
[3]
[ [ 928, 931 ] ]
https://openalex.org/W2161075311
ebd87658-fc0b-4e44-bffd-bacf3113e6eb
The nature of dark matter (DM) is still shrouded in mystery. While a weakly interacting massive particle (WIMP) remains a simple and appealing possibility, the sheer lack of any experimental evidence for such states provides ever stronger motivation for also exploring alternative avenues. One promising direction is to consider hidden sector (HS) scenarios, which feature a DM candidate that strongly interacts with itself and potentially other dark-sector states, while only being – at best – feebly coupled to the Standard Model (SM), or more generally to the visible sector (VS).Such scenarios are further motivated as a potential solution for some of the issues that collisionless DM faces on galactic and sub-galactic scales [1]}, [2]}. Such a HS may be in thermal equilibrium with itself, but not with the VS, meaning that its temperature \(T^{\prime }\) might differ substantially from the temperature \(T\) of the VS [3]}, [4]}.
[4]
[ [ 934, 937 ] ]
https://openalex.org/W3098837140
0f21b0e0-c43f-4226-a13e-1032beba31fc
Exponential frequency power spectra of fluctuation time series appears to be an intrinsic property of deterministic chaos in continuous time systems.[1]}, [2]}, [3]}, [4]}, [5]}, [6]}, [7]}, [8]}, [9]}, [10]} This has been observed in numerous experiments and model simulations of fluids and magnetized plasmas.[1]}, [2]}, [3]}, [4]}, [5]}, [6]}, [7]}, [8]}, [9]}, [10]}, [21]}, [22]}, [23]}, [24]}, [25]}, [26]}, [27]}, [28]}, [29]}, [30]}, [31]}, [32]}, [33]}, [34]}, [35]}, [36]}, [37]} Recently, the exponential spectrum has been attributed to the presence of Lorentzian pulses in the temporal dynamics.[21]}, [22]}, [23]}, [24]}, [25]}, [26]}, [27]}, [28]}, [29]}, [30]}, [31]} Weakly non-linear systems are often characterized by quasi-periodic oscillations, resulting in a frequency power spectral density resembling a Dirac comb.[29]}, [30]}, [31]}, [32]}, [33]}, [34]}, [35]}, [36]}, [37]} Far from the linear instability threshold the spectral peaks broaden and in many cases an exponential spectrum results.[1]}, [2]}, [3]}, [4]}, [5]}, [6]}, [7]}, [8]}, [9]}, [10]}, [21]}, [22]}, [23]}, [24]}, [25]}, [26]}, [27]}, [28]}, [29]}, [30]}, [31]}, [32]}, [33]}, [34]}, [35]}, [36]}, [37]}
[4]
[ [ 167, 170 ], [ 329, 332 ], [ 1036, 1039 ] ]
https://openalex.org/W1975964493
e26eb417-7bce-46c6-b449-2cde51148cd5
Here, we briefly present the well-known Poisson summation formula, which is treated in a number of textbooks [1]}, [2]}, [3]}, [4]}. For our purposes, the formulation used in Corollary VII.2.6 in [2]} is the most useful. The statement in the book is for functions on general Euclidian spaces, but we repeat it here only for our special case (the real line):
[1]
[ [ 109, 112 ] ]
https://openalex.org/W2319026302
448e6340-9797-4ed1-b994-06a83a8eb93f
Here, we briefly present the well-known Poisson summation formula, which is treated in a number of textbooks [1]}, [2]}, [3]}, [4]}. For our purposes, the formulation used in Corollary VII.2.6 in [2]} is the most useful. The statement in the book is for functions on general Euclidian spaces, but we repeat it here only for our special case (the real line):
[3]
[ [ 121, 124 ] ]
https://openalex.org/W1531371725
f30fbe79-b765-4764-8ac5-d1a9de194674
In contrast to coil-coil block copolymers, rod-coil diblock copolymers have rich phase behaviors. Rod-coil block copolymers, as the simplest rod-coil block copolymers, self-assembled into ordered structures, e.g., zigzag lamellae [1]}, stripes [2]}, honeycombs [3]}, and hollow spherical and cylindrical micelles [4]}. Compared with AB diblock copolymers, ABC triblock copolymers have more independent parameters controlling their phase behavior. The phase behavior of the two-component rod-coil block copolymers is controlled mainly by three parameters: the volume fraction of the rod block \(f_{\text{A}}\) , the Flory-Huggins interaction between different blocks \(\chi _{\text{AB}}\) , and the total degree of polymerization of the copolymer \(N\) . For ABC triblock copolymers, the number of parameters increases to six, including three interaction parameters \(\chi _{\text{AB}} \) , \(\chi _{\text{BC}} \) , and \(\chi _{\text{AC}} \) ; two independent volume fractions \(f_{\text{A}}\) and \(f_{\text{B}}\) and the total degree of polymerization of the copolymer \(N\) . This increased number of molecular variables will impose varieties and complexities on the self-assembly of the rod-coil block copolymers, meanwhile, leading to a great model system for engineering of a large number of intriguing nanostructures.
[4]
[ [ 313, 316 ] ]
https://openalex.org/W4240817298
5621148a-7083-44e0-a80f-f80a364ed73f
Rich quantum phase transitions in strongly correlated metals with multiple degrees of freedom and geometrical frustration were discovered one after another recently [1]}, [2]}, [3]}, [4]}. To understand such rich phase transitions, a significant ingredient is various quantum interference processes between different fluctuations [5]}, [6]}, [7]}, [8]}, [9]}, [10]}, [11]}, [12]}. The recent discovery of unconventional density-wave (DW) order and exotic superconductivity in kagome lattice metal AV\(_3\) Sb\(_5\) (A=K, Rb, Cs) have triggered enormous amount of researches [13]}, [14]}, [15]}, [16]}, [17]}, [18]}, [19]}, [20]}. The prominent interplay between density-wave and superconductivity in addition to geometrical frustration have attracted considerable attention in kagome metals with strong correlation. This discovery sparked lots of theoretical studies [21]}, [22]}, [23]}, [24]}, [25]}, [26]}, [27]}.
[4]
[ [ 183, 186 ] ]
https://openalex.org/W3159222123
23590172-5ae2-41d0-ab0d-a6fac3e986af
Rich quantum phase transitions in strongly correlated metals with multiple degrees of freedom and geometrical frustration were discovered one after another recently [1]}, [2]}, [3]}, [4]}. To understand such rich phase transitions, a significant ingredient is various quantum interference processes between different fluctuations [5]}, [6]}, [7]}, [8]}, [9]}, [10]}, [11]}, [12]}. The recent discovery of unconventional density-wave (DW) order and exotic superconductivity in kagome lattice metal AV\(_3\) Sb\(_5\) (A=K, Rb, Cs) have triggered enormous amount of researches [13]}, [14]}, [15]}, [16]}, [17]}, [18]}, [19]}, [20]}. The prominent interplay between density-wave and superconductivity in addition to geometrical frustration have attracted considerable attention in kagome metals with strong correlation. This discovery sparked lots of theoretical studies [21]}, [22]}, [23]}, [24]}, [25]}, [26]}, [27]}.
[5]
[ [ 330, 333 ] ]
https://openalex.org/W2006613135
165ecc8b-b450-4c7f-9338-7405d9ece9d5
Rich quantum phase transitions in strongly correlated metals with multiple degrees of freedom and geometrical frustration were discovered one after another recently [1]}, [2]}, [3]}, [4]}. To understand such rich phase transitions, a significant ingredient is various quantum interference processes between different fluctuations [5]}, [6]}, [7]}, [8]}, [9]}, [10]}, [11]}, [12]}. The recent discovery of unconventional density-wave (DW) order and exotic superconductivity in kagome lattice metal AV\(_3\) Sb\(_5\) (A=K, Rb, Cs) have triggered enormous amount of researches [13]}, [14]}, [15]}, [16]}, [17]}, [18]}, [19]}, [20]}. The prominent interplay between density-wave and superconductivity in addition to geometrical frustration have attracted considerable attention in kagome metals with strong correlation. This discovery sparked lots of theoretical studies [21]}, [22]}, [23]}, [24]}, [25]}, [26]}, [27]}.
[6]
[ [ 336, 339 ] ]
https://openalex.org/W2092660500
1a304aaa-41a9-47d5-b95d-156ecb1bf60f
Rich quantum phase transitions in strongly correlated metals with multiple degrees of freedom and geometrical frustration were discovered one after another recently [1]}, [2]}, [3]}, [4]}. To understand such rich phase transitions, a significant ingredient is various quantum interference processes between different fluctuations [5]}, [6]}, [7]}, [8]}, [9]}, [10]}, [11]}, [12]}. The recent discovery of unconventional density-wave (DW) order and exotic superconductivity in kagome lattice metal AV\(_3\) Sb\(_5\) (A=K, Rb, Cs) have triggered enormous amount of researches [13]}, [14]}, [15]}, [16]}, [17]}, [18]}, [19]}, [20]}. The prominent interplay between density-wave and superconductivity in addition to geometrical frustration have attracted considerable attention in kagome metals with strong correlation. This discovery sparked lots of theoretical studies [21]}, [22]}, [23]}, [24]}, [25]}, [26]}, [27]}.
[7]
[ [ 342, 345 ] ]
https://openalex.org/W2080509755
d46a2639-01bc-4a74-829d-cca9989256c7
Rich quantum phase transitions in strongly correlated metals with multiple degrees of freedom and geometrical frustration were discovered one after another recently [1]}, [2]}, [3]}, [4]}. To understand such rich phase transitions, a significant ingredient is various quantum interference processes between different fluctuations [5]}, [6]}, [7]}, [8]}, [9]}, [10]}, [11]}, [12]}. The recent discovery of unconventional density-wave (DW) order and exotic superconductivity in kagome lattice metal AV\(_3\) Sb\(_5\) (A=K, Rb, Cs) have triggered enormous amount of researches [13]}, [14]}, [15]}, [16]}, [17]}, [18]}, [19]}, [20]}. The prominent interplay between density-wave and superconductivity in addition to geometrical frustration have attracted considerable attention in kagome metals with strong correlation. This discovery sparked lots of theoretical studies [21]}, [22]}, [23]}, [24]}, [25]}, [26]}, [27]}.
[8]
[ [ 348, 351 ] ]
https://openalex.org/W2169067738
45f798db-0a31-4a36-bdd7-4d6a453be38f
Rich quantum phase transitions in strongly correlated metals with multiple degrees of freedom and geometrical frustration were discovered one after another recently [1]}, [2]}, [3]}, [4]}. To understand such rich phase transitions, a significant ingredient is various quantum interference processes between different fluctuations [5]}, [6]}, [7]}, [8]}, [9]}, [10]}, [11]}, [12]}. The recent discovery of unconventional density-wave (DW) order and exotic superconductivity in kagome lattice metal AV\(_3\) Sb\(_5\) (A=K, Rb, Cs) have triggered enormous amount of researches [13]}, [14]}, [15]}, [16]}, [17]}, [18]}, [19]}, [20]}. The prominent interplay between density-wave and superconductivity in addition to geometrical frustration have attracted considerable attention in kagome metals with strong correlation. This discovery sparked lots of theoretical studies [21]}, [22]}, [23]}, [24]}, [25]}, [26]}, [27]}.
[9]
[ [ 354, 357 ] ]
https://openalex.org/W3104988532
f876d4e4-8cfa-46cb-97f3-17f968a8d437
Rich quantum phase transitions in strongly correlated metals with multiple degrees of freedom and geometrical frustration were discovered one after another recently [1]}, [2]}, [3]}, [4]}. To understand such rich phase transitions, a significant ingredient is various quantum interference processes between different fluctuations [5]}, [6]}, [7]}, [8]}, [9]}, [10]}, [11]}, [12]}. The recent discovery of unconventional density-wave (DW) order and exotic superconductivity in kagome lattice metal AV\(_3\) Sb\(_5\) (A=K, Rb, Cs) have triggered enormous amount of researches [13]}, [14]}, [15]}, [16]}, [17]}, [18]}, [19]}, [20]}. The prominent interplay between density-wave and superconductivity in addition to geometrical frustration have attracted considerable attention in kagome metals with strong correlation. This discovery sparked lots of theoretical studies [21]}, [22]}, [23]}, [24]}, [25]}, [26]}, [27]}.
[13]
[ [ 575, 579 ] ]
https://openalex.org/W2974635060
441db285-9be3-4c24-84d4-6f10fec9ee0d
Rich quantum phase transitions in strongly correlated metals with multiple degrees of freedom and geometrical frustration were discovered one after another recently [1]}, [2]}, [3]}, [4]}. To understand such rich phase transitions, a significant ingredient is various quantum interference processes between different fluctuations [5]}, [6]}, [7]}, [8]}, [9]}, [10]}, [11]}, [12]}. The recent discovery of unconventional density-wave (DW) order and exotic superconductivity in kagome lattice metal AV\(_3\) Sb\(_5\) (A=K, Rb, Cs) have triggered enormous amount of researches [13]}, [14]}, [15]}, [16]}, [17]}, [18]}, [19]}, [20]}. The prominent interplay between density-wave and superconductivity in addition to geometrical frustration have attracted considerable attention in kagome metals with strong correlation. This discovery sparked lots of theoretical studies [21]}, [22]}, [23]}, [24]}, [25]}, [26]}, [27]}.
[14]
[ [ 582, 586 ] ]
https://openalex.org/W3099516921
6ec8a38d-209f-4c8b-a4bb-5fa8c6add7a3
Rich quantum phase transitions in strongly correlated metals with multiple degrees of freedom and geometrical frustration were discovered one after another recently [1]}, [2]}, [3]}, [4]}. To understand such rich phase transitions, a significant ingredient is various quantum interference processes between different fluctuations [5]}, [6]}, [7]}, [8]}, [9]}, [10]}, [11]}, [12]}. The recent discovery of unconventional density-wave (DW) order and exotic superconductivity in kagome lattice metal AV\(_3\) Sb\(_5\) (A=K, Rb, Cs) have triggered enormous amount of researches [13]}, [14]}, [15]}, [16]}, [17]}, [18]}, [19]}, [20]}. The prominent interplay between density-wave and superconductivity in addition to geometrical frustration have attracted considerable attention in kagome metals with strong correlation. This discovery sparked lots of theoretical studies [21]}, [22]}, [23]}, [24]}, [25]}, [26]}, [27]}.
[16]
[ [ 596, 600 ] ]
https://openalex.org/W3132260257
71694726-d2a2-4e45-9987-ae4225126390
Rich quantum phase transitions in strongly correlated metals with multiple degrees of freedom and geometrical frustration were discovered one after another recently [1]}, [2]}, [3]}, [4]}. To understand such rich phase transitions, a significant ingredient is various quantum interference processes between different fluctuations [5]}, [6]}, [7]}, [8]}, [9]}, [10]}, [11]}, [12]}. The recent discovery of unconventional density-wave (DW) order and exotic superconductivity in kagome lattice metal AV\(_3\) Sb\(_5\) (A=K, Rb, Cs) have triggered enormous amount of researches [13]}, [14]}, [15]}, [16]}, [17]}, [18]}, [19]}, [20]}. The prominent interplay between density-wave and superconductivity in addition to geometrical frustration have attracted considerable attention in kagome metals with strong correlation. This discovery sparked lots of theoretical studies [21]}, [22]}, [23]}, [24]}, [25]}, [26]}, [27]}.
[17]
[ [ 603, 607 ] ]
https://openalex.org/W3133629120
c05ec679-6d97-465b-a6a2-f22096bd193f
Rich quantum phase transitions in strongly correlated metals with multiple degrees of freedom and geometrical frustration were discovered one after another recently [1]}, [2]}, [3]}, [4]}. To understand such rich phase transitions, a significant ingredient is various quantum interference processes between different fluctuations [5]}, [6]}, [7]}, [8]}, [9]}, [10]}, [11]}, [12]}. The recent discovery of unconventional density-wave (DW) order and exotic superconductivity in kagome lattice metal AV\(_3\) Sb\(_5\) (A=K, Rb, Cs) have triggered enormous amount of researches [13]}, [14]}, [15]}, [16]}, [17]}, [18]}, [19]}, [20]}. The prominent interplay between density-wave and superconductivity in addition to geometrical frustration have attracted considerable attention in kagome metals with strong correlation. This discovery sparked lots of theoretical studies [21]}, [22]}, [23]}, [24]}, [25]}, [26]}, [27]}.
[19]
[ [ 617, 621 ] ]
https://openalex.org/W3132395781
b85b661a-5213-494b-9878-a9f50f348b11
Rich quantum phase transitions in strongly correlated metals with multiple degrees of freedom and geometrical frustration were discovered one after another recently [1]}, [2]}, [3]}, [4]}. To understand such rich phase transitions, a significant ingredient is various quantum interference processes between different fluctuations [5]}, [6]}, [7]}, [8]}, [9]}, [10]}, [11]}, [12]}. The recent discovery of unconventional density-wave (DW) order and exotic superconductivity in kagome lattice metal AV\(_3\) Sb\(_5\) (A=K, Rb, Cs) have triggered enormous amount of researches [13]}, [14]}, [15]}, [16]}, [17]}, [18]}, [19]}, [20]}. The prominent interplay between density-wave and superconductivity in addition to geometrical frustration have attracted considerable attention in kagome metals with strong correlation. This discovery sparked lots of theoretical studies [21]}, [22]}, [23]}, [24]}, [25]}, [26]}, [27]}.
[22]
[ [ 875, 879 ] ]
https://openalex.org/W3153145871
4ca0ee79-2ef6-4ace-8917-36daec4c5393
Rich quantum phase transitions in strongly correlated metals with multiple degrees of freedom and geometrical frustration were discovered one after another recently [1]}, [2]}, [3]}, [4]}. To understand such rich phase transitions, a significant ingredient is various quantum interference processes between different fluctuations [5]}, [6]}, [7]}, [8]}, [9]}, [10]}, [11]}, [12]}. The recent discovery of unconventional density-wave (DW) order and exotic superconductivity in kagome lattice metal AV\(_3\) Sb\(_5\) (A=K, Rb, Cs) have triggered enormous amount of researches [13]}, [14]}, [15]}, [16]}, [17]}, [18]}, [19]}, [20]}. The prominent interplay between density-wave and superconductivity in addition to geometrical frustration have attracted considerable attention in kagome metals with strong correlation. This discovery sparked lots of theoretical studies [21]}, [22]}, [23]}, [24]}, [25]}, [26]}, [27]}.
[23]
[ [ 882, 886 ] ]
https://openalex.org/W3133870740
21aa70eb-52ef-4f8a-a9a1-89a399d912b2
At ambient pressure, AV\(_3\) Sb\(_5\) exhibits charge-channel DW order at \(T_{\rm DW}=78\) , 94 and 102 K for A=K, Cs and Rb, respectively [1]}, [2]}, [3]}, [4]}. Below \(T_{\rm DW}\) , \(2\times 2\) (inverse) star of David pattern is observed by STM studies [5]}, [6]}. The absence of acoustic phonon anomaly at \(T_{\rm DW}\) [7]} would exclude strong electron-phonon coupling driven DW state. As possible electron-correlation-driven DW orders, charge/bond orders and loop current orders [8]}, [9]}, [10]}, [11]}, [12]}, [13]}, [14]}, [15]} have been proposed theoretically, mainly based on the extended Hubbard model with the on-site (\(U\) ) and the nearest-site (\(V\) ) Coulomb interactions. However, when \(V\ll U\) due to Thomas-Fermi screening, previous studies predicted the strong spin-density-wave (SDW) instability, in contrast to the tiny SDW instability in AV\(_3\) Sb\(_5\) at \(T_{\rm DW}\) [4]}, [3]}, [18]}.
[1]
[ [ 142, 145 ] ]
https://openalex.org/W2974635060
e6c4e900-abfd-4988-8600-6d378ef334e4
At ambient pressure, AV\(_3\) Sb\(_5\) exhibits charge-channel DW order at \(T_{\rm DW}=78\) , 94 and 102 K for A=K, Cs and Rb, respectively [1]}, [2]}, [3]}, [4]}. Below \(T_{\rm DW}\) , \(2\times 2\) (inverse) star of David pattern is observed by STM studies [5]}, [6]}. The absence of acoustic phonon anomaly at \(T_{\rm DW}\) [7]} would exclude strong electron-phonon coupling driven DW state. As possible electron-correlation-driven DW orders, charge/bond orders and loop current orders [8]}, [9]}, [10]}, [11]}, [12]}, [13]}, [14]}, [15]} have been proposed theoretically, mainly based on the extended Hubbard model with the on-site (\(U\) ) and the nearest-site (\(V\) ) Coulomb interactions. However, when \(V\ll U\) due to Thomas-Fermi screening, previous studies predicted the strong spin-density-wave (SDW) instability, in contrast to the tiny SDW instability in AV\(_3\) Sb\(_5\) at \(T_{\rm DW}\) [4]}, [3]}, [18]}.
[2]
[ [ 148, 151 ] ]
https://openalex.org/W3099516921
aecf4cf8-953e-4312-a090-861d0dc765c7
At ambient pressure, AV\(_3\) Sb\(_5\) exhibits charge-channel DW order at \(T_{\rm DW}=78\) , 94 and 102 K for A=K, Cs and Rb, respectively [1]}, [2]}, [3]}, [4]}. Below \(T_{\rm DW}\) , \(2\times 2\) (inverse) star of David pattern is observed by STM studies [5]}, [6]}. The absence of acoustic phonon anomaly at \(T_{\rm DW}\) [7]} would exclude strong electron-phonon coupling driven DW state. As possible electron-correlation-driven DW orders, charge/bond orders and loop current orders [8]}, [9]}, [10]}, [11]}, [12]}, [13]}, [14]}, [15]} have been proposed theoretically, mainly based on the extended Hubbard model with the on-site (\(U\) ) and the nearest-site (\(V\) ) Coulomb interactions. However, when \(V\ll U\) due to Thomas-Fermi screening, previous studies predicted the strong spin-density-wave (SDW) instability, in contrast to the tiny SDW instability in AV\(_3\) Sb\(_5\) at \(T_{\rm DW}\) [4]}, [3]}, [18]}.
[8]
[ [ 495, 498 ] ]
https://openalex.org/W3153145871
ae62f5c8-fb87-4d2c-8f11-4037d74dc2b0
At ambient pressure, AV\(_3\) Sb\(_5\) exhibits charge-channel DW order at \(T_{\rm DW}=78\) , 94 and 102 K for A=K, Cs and Rb, respectively [1]}, [2]}, [3]}, [4]}. Below \(T_{\rm DW}\) , \(2\times 2\) (inverse) star of David pattern is observed by STM studies [5]}, [6]}. The absence of acoustic phonon anomaly at \(T_{\rm DW}\) [7]} would exclude strong electron-phonon coupling driven DW state. As possible electron-correlation-driven DW orders, charge/bond orders and loop current orders [8]}, [9]}, [10]}, [11]}, [12]}, [13]}, [14]}, [15]} have been proposed theoretically, mainly based on the extended Hubbard model with the on-site (\(U\) ) and the nearest-site (\(V\) ) Coulomb interactions. However, when \(V\ll U\) due to Thomas-Fermi screening, previous studies predicted the strong spin-density-wave (SDW) instability, in contrast to the tiny SDW instability in AV\(_3\) Sb\(_5\) at \(T_{\rm DW}\) [4]}, [3]}, [18]}.
[13]
[ [ 528, 532 ] ]
https://openalex.org/W2076451752
36f6c159-275c-4ddc-aa8c-026a58e942dd
At ambient pressure, AV\(_3\) Sb\(_5\) exhibits charge-channel DW order at \(T_{\rm DW}=78\) , 94 and 102 K for A=K, Cs and Rb, respectively [1]}, [2]}, [3]}, [4]}. Below \(T_{\rm DW}\) , \(2\times 2\) (inverse) star of David pattern is observed by STM studies [5]}, [6]}. The absence of acoustic phonon anomaly at \(T_{\rm DW}\) [7]} would exclude strong electron-phonon coupling driven DW state. As possible electron-correlation-driven DW orders, charge/bond orders and loop current orders [8]}, [9]}, [10]}, [11]}, [12]}, [13]}, [14]}, [15]} have been proposed theoretically, mainly based on the extended Hubbard model with the on-site (\(U\) ) and the nearest-site (\(V\) ) Coulomb interactions. However, when \(V\ll U\) due to Thomas-Fermi screening, previous studies predicted the strong spin-density-wave (SDW) instability, in contrast to the tiny SDW instability in AV\(_3\) Sb\(_5\) at \(T_{\rm DW}\) [4]}, [3]}, [18]}.
[14]
[ [ 535, 539 ] ]
https://openalex.org/W2041469486
dc311a0e-cf8b-4c41-b603-2326d3ed8d47
At ambient pressure, AV\(_3\) Sb\(_5\) exhibits charge-channel DW order at \(T_{\rm DW}=78\) , 94 and 102 K for A=K, Cs and Rb, respectively [1]}, [2]}, [3]}, [4]}. Below \(T_{\rm DW}\) , \(2\times 2\) (inverse) star of David pattern is observed by STM studies [5]}, [6]}. The absence of acoustic phonon anomaly at \(T_{\rm DW}\) [7]} would exclude strong electron-phonon coupling driven DW state. As possible electron-correlation-driven DW orders, charge/bond orders and loop current orders [8]}, [9]}, [10]}, [11]}, [12]}, [13]}, [14]}, [15]} have been proposed theoretically, mainly based on the extended Hubbard model with the on-site (\(U\) ) and the nearest-site (\(V\) ) Coulomb interactions. However, when \(V\ll U\) due to Thomas-Fermi screening, previous studies predicted the strong spin-density-wave (SDW) instability, in contrast to the tiny SDW instability in AV\(_3\) Sb\(_5\) at \(T_{\rm DW}\) [4]}, [3]}, [18]}.
[15]
[ [ 542, 546 ] ]
https://openalex.org/W2060884327
0a3bee44-5129-464d-a26f-7bcdf6434626
Below \(T_{\rm DW}\) , exotic nodal superconductivity occurs at \(T_{\rm c}=1 \sim 3\) K at ambient pressure. [1]}, [2]}. The Hebel-Slichter peak in \(1/T_1T\) [3]} and small impurity effect on \(T_{\rm c}\) [4]} indicate the singlet \(s\) -wave superconducting (SC) state. On the other hand, possibilities of triplet pairing state [5]} and nematic SC state [6]}, [7]} have been reported, which indicates non-\(s\) wave pairing states. In addition, possibility of topological states has been discussed intensively [8]}. Under pressure, \(T_{\rm DW}\) decreases and vanishes at the DW quantum critical point (DW-QCP) at \(P\sim 2\) GPa. For A=Cs, \(T_{\rm c}\) exhibits nontrivial double SC dome in the DW phase, and the highest \(T_{\rm c}\ (\lesssim 10 {\rm K})\) is realized at the DW-QCP [9]}. In addition, theoretical phonon-mediated \(s\) -wave \(T_{\rm c}\) is too low to explain experiments [10]}. Thus, unconventional SC state due to DW fluctuations [11]}, [12]} is naturally expected in AV\(_3\) Sb\(_5\) .
[2]
[ [ 117, 120 ] ]
https://openalex.org/W3132395781
b3973ad8-76cf-4c20-a77a-4c1e748a2bd7
Below \(T_{\rm DW}\) , exotic nodal superconductivity occurs at \(T_{\rm c}=1 \sim 3\) K at ambient pressure. [1]}, [2]}. The Hebel-Slichter peak in \(1/T_1T\) [3]} and small impurity effect on \(T_{\rm c}\) [4]} indicate the singlet \(s\) -wave superconducting (SC) state. On the other hand, possibilities of triplet pairing state [5]} and nematic SC state [6]}, [7]} have been reported, which indicates non-\(s\) wave pairing states. In addition, possibility of topological states has been discussed intensively [8]}. Under pressure, \(T_{\rm DW}\) decreases and vanishes at the DW quantum critical point (DW-QCP) at \(P\sim 2\) GPa. For A=Cs, \(T_{\rm c}\) exhibits nontrivial double SC dome in the DW phase, and the highest \(T_{\rm c}\ (\lesssim 10 {\rm K})\) is realized at the DW-QCP [9]}. In addition, theoretical phonon-mediated \(s\) -wave \(T_{\rm c}\) is too low to explain experiments [10]}. Thus, unconventional SC state due to DW fluctuations [11]}, [12]} is naturally expected in AV\(_3\) Sb\(_5\) .
[5]
[ [ 335, 338 ] ]
https://openalex.org/W3113330169
31b646a8-7e00-4bf0-a449-cf3df11eca6e
Below \(T_{\rm DW}\) , exotic nodal superconductivity occurs at \(T_{\rm c}=1 \sim 3\) K at ambient pressure. [1]}, [2]}. The Hebel-Slichter peak in \(1/T_1T\) [3]} and small impurity effect on \(T_{\rm c}\) [4]} indicate the singlet \(s\) -wave superconducting (SC) state. On the other hand, possibilities of triplet pairing state [5]} and nematic SC state [6]}, [7]} have been reported, which indicates non-\(s\) wave pairing states. In addition, possibility of topological states has been discussed intensively [8]}. Under pressure, \(T_{\rm DW}\) decreases and vanishes at the DW quantum critical point (DW-QCP) at \(P\sim 2\) GPa. For A=Cs, \(T_{\rm c}\) exhibits nontrivial double SC dome in the DW phase, and the highest \(T_{\rm c}\ (\lesssim 10 {\rm K})\) is realized at the DW-QCP [9]}. In addition, theoretical phonon-mediated \(s\) -wave \(T_{\rm c}\) is too low to explain experiments [10]}. Thus, unconventional SC state due to DW fluctuations [11]}, [12]} is naturally expected in AV\(_3\) Sb\(_5\) .
[10]
[ [ 906, 910 ] ]
https://openalex.org/W3133870740
1ff83307-1a7f-411c-a13b-fb8266c1c32e
The current central issues would be summarized as: (i) Origin of the DW state and its driving mechanism, (ii) SC state and its mechanism, and (iii) Interplay between DW and superconductivity. To attack these issues, it is useful to focus on the similarity to Fe-based superconductors, in which \(s\) -wave state appears next to the nematic and smectic orbital/bond orders. These orders are naturally explained in terms of the quantum interference mechanism: The interference among optical phonons [1]}, and/or spin fluctuations [2]}, [3]}, [4]}, [5]} (at wavevectors \({ {\mathbf {q}} }\) and \({ {\mathbf {q}} }^{\prime }\) ) give rise to unconventional DW at \({ {\mathbf {q}} }+{ {\mathbf {q}} }^{\prime }\) , which is shown in Fig. REF (a). This mechanism is also applicable to various nematic/smectic orders in transition metal compounds [6]}, [7]}, [8]}, [9]} and \(f\) -electron systems [10]}. It is meaningful to investigate the interplay between interference mechanism, van Hove singularity (vHS) points and sublattice degrees of freedom in kagome metal. Its lattice and band structure and Fermi surface (FS) are shown in Figs. REF (b), (c) and (d), respectively.
[1]
[ [ 497, 500 ] ]
https://openalex.org/W2006613135
1725f40f-0a62-4656-ab3c-8e8d0554c625
The current central issues would be summarized as: (i) Origin of the DW state and its driving mechanism, (ii) SC state and its mechanism, and (iii) Interplay between DW and superconductivity. To attack these issues, it is useful to focus on the similarity to Fe-based superconductors, in which \(s\) -wave state appears next to the nematic and smectic orbital/bond orders. These orders are naturally explained in terms of the quantum interference mechanism: The interference among optical phonons [1]}, and/or spin fluctuations [2]}, [3]}, [4]}, [5]} (at wavevectors \({ {\mathbf {q}} }\) and \({ {\mathbf {q}} }^{\prime }\) ) give rise to unconventional DW at \({ {\mathbf {q}} }+{ {\mathbf {q}} }^{\prime }\) , which is shown in Fig. REF (a). This mechanism is also applicable to various nematic/smectic orders in transition metal compounds [6]}, [7]}, [8]}, [9]} and \(f\) -electron systems [10]}. It is meaningful to investigate the interplay between interference mechanism, van Hove singularity (vHS) points and sublattice degrees of freedom in kagome metal. Its lattice and band structure and Fermi surface (FS) are shown in Figs. REF (b), (c) and (d), respectively.
[2]
[ [ 528, 531 ] ]
https://openalex.org/W2092660500
2024f0e2-3b2c-48e7-bbbd-42a20bf65091
The current central issues would be summarized as: (i) Origin of the DW state and its driving mechanism, (ii) SC state and its mechanism, and (iii) Interplay between DW and superconductivity. To attack these issues, it is useful to focus on the similarity to Fe-based superconductors, in which \(s\) -wave state appears next to the nematic and smectic orbital/bond orders. These orders are naturally explained in terms of the quantum interference mechanism: The interference among optical phonons [1]}, and/or spin fluctuations [2]}, [3]}, [4]}, [5]} (at wavevectors \({ {\mathbf {q}} }\) and \({ {\mathbf {q}} }^{\prime }\) ) give rise to unconventional DW at \({ {\mathbf {q}} }+{ {\mathbf {q}} }^{\prime }\) , which is shown in Fig. REF (a). This mechanism is also applicable to various nematic/smectic orders in transition metal compounds [6]}, [7]}, [8]}, [9]} and \(f\) -electron systems [10]}. It is meaningful to investigate the interplay between interference mechanism, van Hove singularity (vHS) points and sublattice degrees of freedom in kagome metal. Its lattice and band structure and Fermi surface (FS) are shown in Figs. REF (b), (c) and (d), respectively.
[4]
[ [ 540, 543 ] ]
https://openalex.org/W3104988532
77fa6370-86fb-45f2-beaa-f1b432fbaa6e
The current central issues would be summarized as: (i) Origin of the DW state and its driving mechanism, (ii) SC state and its mechanism, and (iii) Interplay between DW and superconductivity. To attack these issues, it is useful to focus on the similarity to Fe-based superconductors, in which \(s\) -wave state appears next to the nematic and smectic orbital/bond orders. These orders are naturally explained in terms of the quantum interference mechanism: The interference among optical phonons [1]}, and/or spin fluctuations [2]}, [3]}, [4]}, [5]} (at wavevectors \({ {\mathbf {q}} }\) and \({ {\mathbf {q}} }^{\prime }\) ) give rise to unconventional DW at \({ {\mathbf {q}} }+{ {\mathbf {q}} }^{\prime }\) , which is shown in Fig. REF (a). This mechanism is also applicable to various nematic/smectic orders in transition metal compounds [6]}, [7]}, [8]}, [9]} and \(f\) -electron systems [10]}. It is meaningful to investigate the interplay between interference mechanism, van Hove singularity (vHS) points and sublattice degrees of freedom in kagome metal. Its lattice and band structure and Fermi surface (FS) are shown in Figs. REF (b), (c) and (d), respectively.
[6]
[ [ 845, 848 ] ]
https://openalex.org/W2616446735
9ed611e9-4520-4267-a2eb-2400f8599d25
In this paper, we study the unconventional DW order in AV\(_3\) Sb\(_5\) due to beyond-mean-field effects, and its interplay with exotic SC states. By optimizing the form factor that represents the nonlocal (=\({ {\mathbf {k}} }\) -dependent) particle-hole (p-h) condensation, we derive the smectic bond-order at wavevector \({ {\mathbf {q}} }_n\) (\(n=1,2,3\) ) even when spin fluctuations are tiny. Its driving force is the paramagnon interference, which provides large “nonlocal” backward and umklapp scattering among different vHS points. In addition, the smectic DW fluctuations induce sizable “beyond-Migdal” pairing interaction. For this reason, both nodal \(s\) -wave pairing and \(p\) -wave pairing states are expected to emerge. The coexistence of both states would explain exotic SC states in \(T\) -\(P\) phase diagram [1]}, [2]}. <FIGURE>
[2]
[ [ 840, 843 ] ]
https://openalex.org/W3132260257
afb23d41-361c-4eec-b919-4b85b7825b82
where \(l,m=A,B,C,A^{\prime },B^{\prime },C^{\prime }\) . Hereafter the unit of energy is eV. The nearest-neighbor hopping integrals are \(t_{b{3g}}=0.5\) , \(t_{b{2g}}=1\) and \(t_{b{3g},b{2g}}=0.002\) , and the on-site energies are \(E_{b{3g}}=-0.055\) and \(E_{b{2g}}=2.17\) [1]}. In the numerical study, it is convenient to analyze the six-orbital triangular lattice model in Fig. REF in the Supplemental Materials (SM) A [2]}, which is completely equivalent to the kagome metal in Fig. REF (b). In the \(b_{3g}\) -orbital band shown in Fig. REF (d), each vHS point (A, B and C) is composed of pure orbital (\(A\) , \(B\) and \(C\) ), while the point \({ {\mathbf {k}} }_{\rm AB}=({ {\mathbf {k}} }_{\rm A}+{ {\mathbf {k}} }_{\rm B})/2\) is composed of orbitals \(A\) and \(B\) . The present \(b_{3g}\) -orbital FS in the vicinity of three vHS points, on which the pseudogap opens below \(T_{\rm DW}\) [3]}, [4]}, [5]}, [6]}, well captures the observed FS [7]}, [8]}, [9]}.
[5]
[ [ 928, 931 ] ]
https://openalex.org/W3160466619
a0537f9a-da25-46d3-baa3-ba91b6f14f39
Nonmagnetic DW orders cannot be explained in the RPA unless large nearest-neighbor Coulomb interaction \(V\) (\(V>0.5U\) ) exists. However, beyond-RPA nonlocal correlations, called the vertex corrections (VCs), can induce various DW orders even for \(V=0\) [1]}, [2]}, [3]}, [4]}, [5]}. To consider the VCs due to the paramagnon interference in Fig. REF (a), which causes the nematicity in Fe-based and cuprate superconductors, we employ the linearized DW equation [3]}, [7]}: \(\lambda _{{ {\mathbf {q}} }}f_{ {\mathbf {q}} }^{L}(k)&=& -\frac{T}{N}\sum _{p,M_1,M_2}I_{ {\mathbf {q}} }^{L,M_1}(k,p)\nonumber \\& &\times \lbrace G(p)G(p+{ {\mathbf {q}} }) \rbrace ^{M_1,M_2} f_{ {\mathbf {q}} }^{M_2}(p) ,\)
[1]
[ [ 259, 262 ] ]
https://openalex.org/W2006613135
f5f0a010-3681-48af-9256-59514c44318d
Nonmagnetic DW orders cannot be explained in the RPA unless large nearest-neighbor Coulomb interaction \(V\) (\(V>0.5U\) ) exists. However, beyond-RPA nonlocal correlations, called the vertex corrections (VCs), can induce various DW orders even for \(V=0\) [1]}, [2]}, [3]}, [4]}, [5]}. To consider the VCs due to the paramagnon interference in Fig. REF (a), which causes the nematicity in Fe-based and cuprate superconductors, we employ the linearized DW equation [3]}, [7]}: \(\lambda _{{ {\mathbf {q}} }}f_{ {\mathbf {q}} }^{L}(k)&=& -\frac{T}{N}\sum _{p,M_1,M_2}I_{ {\mathbf {q}} }^{L,M_1}(k,p)\nonumber \\& &\times \lbrace G(p)G(p+{ {\mathbf {q}} }) \rbrace ^{M_1,M_2} f_{ {\mathbf {q}} }^{M_2}(p) ,\)
[2]
[ [ 265, 268 ] ]
https://openalex.org/W2092660500
0de499ad-ffed-40ee-92f1-0476b634e1f3
Nonmagnetic DW orders cannot be explained in the RPA unless large nearest-neighbor Coulomb interaction \(V\) (\(V>0.5U\) ) exists. However, beyond-RPA nonlocal correlations, called the vertex corrections (VCs), can induce various DW orders even for \(V=0\) [1]}, [2]}, [3]}, [4]}, [5]}. To consider the VCs due to the paramagnon interference in Fig. REF (a), which causes the nematicity in Fe-based and cuprate superconductors, we employ the linearized DW equation [3]}, [7]}: \(\lambda _{{ {\mathbf {q}} }}f_{ {\mathbf {q}} }^{L}(k)&=& -\frac{T}{N}\sum _{p,M_1,M_2}I_{ {\mathbf {q}} }^{L,M_1}(k,p)\nonumber \\& &\times \lbrace G(p)G(p+{ {\mathbf {q}} }) \rbrace ^{M_1,M_2} f_{ {\mathbf {q}} }^{M_2}(p) ,\)
[4]
[ [ 277, 280 ] ]
https://openalex.org/W3104988532
04d2a0bd-5f12-48ca-9c58-32dec1d31cec
Here, we apply the one-loop approximation for \(\Phi _{\rm LW}\) [1]}, [2]}. Then, \(I_{ {\mathbf {q}} }^{L,M}\) is composed of one single-magnon exchange Maki-Thompson (MT) term and two double-magnon interference AL terms. Their diagrammatic expression (Fig. REF ) and analytic one are explained in the SM B [3]}. Due to the AL terms, nonmagnetic nematic order in FeSe is naturally reproduced even if spin fluctuations are very weak [1]}. The importance of AL terms was verified by the functional-renormalization-group (fRG) study with constrained-RPA, in which higher-order parquet VCs are produced in an unbiased way, for several Hubbard models [5]}, [6]}, [7]}. Later, we see that the AL diagrams induce the backward and umklapp scattering shown in Fig. REF (f), and they mediate the p-h condensation at the inter-vHS nesting vector \({ {\mathbf {q}} }_1={ {\mathbf {k}} }_{\rm B}-{ {\mathbf {k}} }_{\rm A}\) . <FIGURE>
[1]
[ [ 66, 69 ], [ 436, 439 ] ]
https://openalex.org/W2092660500
fa7cdf96-6dd7-4ca8-85f2-be25290c828d
Here, we apply the one-loop approximation for \(\Phi _{\rm LW}\) [1]}, [2]}. Then, \(I_{ {\mathbf {q}} }^{L,M}\) is composed of one single-magnon exchange Maki-Thompson (MT) term and two double-magnon interference AL terms. Their diagrammatic expression (Fig. REF ) and analytic one are explained in the SM B [3]}. Due to the AL terms, nonmagnetic nematic order in FeSe is naturally reproduced even if spin fluctuations are very weak [1]}. The importance of AL terms was verified by the functional-renormalization-group (fRG) study with constrained-RPA, in which higher-order parquet VCs are produced in an unbiased way, for several Hubbard models [5]}, [6]}, [7]}. Later, we see that the AL diagrams induce the backward and umklapp scattering shown in Fig. REF (f), and they mediate the p-h condensation at the inter-vHS nesting vector \({ {\mathbf {q}} }_1={ {\mathbf {k}} }_{\rm B}-{ {\mathbf {k}} }_{\rm A}\) . <FIGURE>
[5]
[ [ 650, 653 ] ]
https://openalex.org/W3159222123
40288cd8-5894-497f-b70f-5fc64a72dfb4
Here, we apply the one-loop approximation for \(\Phi _{\rm LW}\) [1]}, [2]}. Then, \(I_{ {\mathbf {q}} }^{L,M}\) is composed of one single-magnon exchange Maki-Thompson (MT) term and two double-magnon interference AL terms. Their diagrammatic expression (Fig. REF ) and analytic one are explained in the SM B [3]}. Due to the AL terms, nonmagnetic nematic order in FeSe is naturally reproduced even if spin fluctuations are very weak [1]}. The importance of AL terms was verified by the functional-renormalization-group (fRG) study with constrained-RPA, in which higher-order parquet VCs are produced in an unbiased way, for several Hubbard models [5]}, [6]}, [7]}. Later, we see that the AL diagrams induce the backward and umklapp scattering shown in Fig. REF (f), and they mediate the p-h condensation at the inter-vHS nesting vector \({ {\mathbf {q}} }_1={ {\mathbf {k}} }_{\rm B}-{ {\mathbf {k}} }_{\rm A}\) . <FIGURE>
[6]
[ [ 656, 659 ] ]
https://openalex.org/W2080509755
20203f0f-87ae-40ce-bdd0-c2c36c83714f
Here, we apply the one-loop approximation for \(\Phi _{\rm LW}\) [1]}, [2]}. Then, \(I_{ {\mathbf {q}} }^{L,M}\) is composed of one single-magnon exchange Maki-Thompson (MT) term and two double-magnon interference AL terms. Their diagrammatic expression (Fig. REF ) and analytic one are explained in the SM B [3]}. Due to the AL terms, nonmagnetic nematic order in FeSe is naturally reproduced even if spin fluctuations are very weak [1]}. The importance of AL terms was verified by the functional-renormalization-group (fRG) study with constrained-RPA, in which higher-order parquet VCs are produced in an unbiased way, for several Hubbard models [5]}, [6]}, [7]}. Later, we see that the AL diagrams induce the backward and umklapp scattering shown in Fig. REF (f), and they mediate the p-h condensation at the inter-vHS nesting vector \({ {\mathbf {q}} }_1={ {\mathbf {k}} }_{\rm B}-{ {\mathbf {k}} }_{\rm A}\) . <FIGURE>
[7]
[ [ 662, 665 ] ]
https://openalex.org/W2616446735
64e2923f-ce5c-4815-9f3c-82b87b2db0ca
In summary, we derived the smectic bond-order in AV\(_3\) Sb\(_5\) due to the paramagnon interference mechanism, irrespective of tiny magnetic criticality in kagome metal because of the prominent vHS and geometrical frustration. In addition, we predicted that the emergence of nodal \(s\) -wave and \(p\) -wave SC states owing to the cooperation of bond-order and SDW fluctuations. This mechanism may explain high-\(T_{\rm c}\) state in CsV\(_3\) Sb\(_5\) under pressure. The present study would give crucial hints to understand recently discovered “smectic order and adjacent high-\(T_{\rm c}\) state” in FeSe/SrTiO\(_3\) [1]}. It is noteworthy that the paramagnon interference mechanism also responsible for loop current orders, which are the condensations of “odd-parity” p-h pairs [2]}, [3]}. It is important to study the current order mechanism in kagome metals in future because the emergence of current orders has been hotly discussed experimentally [4]}, [5]}, [6]}.
[2]
[ [ 790, 793 ] ]
https://openalex.org/W3132123652
f54e3195-914a-4b50-b889-8647f911a938
In summary, we derived the smectic bond-order in AV\(_3\) Sb\(_5\) due to the paramagnon interference mechanism, irrespective of tiny magnetic criticality in kagome metal because of the prominent vHS and geometrical frustration. In addition, we predicted that the emergence of nodal \(s\) -wave and \(p\) -wave SC states owing to the cooperation of bond-order and SDW fluctuations. This mechanism may explain high-\(T_{\rm c}\) state in CsV\(_3\) Sb\(_5\) under pressure. The present study would give crucial hints to understand recently discovered “smectic order and adjacent high-\(T_{\rm c}\) state” in FeSe/SrTiO\(_3\) [1]}. It is noteworthy that the paramagnon interference mechanism also responsible for loop current orders, which are the condensations of “odd-parity” p-h pairs [2]}, [3]}. It is important to study the current order mechanism in kagome metals in future because the emergence of current orders has been hotly discussed experimentally [4]}, [5]}, [6]}.
[6]
[ [ 974, 977 ] ]
https://openalex.org/W3131186123
94893ddc-a687-443e-a348-734288f237bb
Next, we explain the multiorbital Coulomb interaction. The matrix expression of the spin-channel Coulomb interaction is [1]}, [2]}, [3]} \(U_{l_{1}l_{2},l_{3}l_{4}}^s = {\left\lbrace \begin{array}{ll}U, & l_1=l_2=l_3=l_4 \\U^{\prime } , & l_1=l_3 \ne l_2=l_4 \\J, & l_1=l_2 \ne l_3=l_4 \\J^{\prime } , & l_1=l_4 \ne l_2=l_3\end{array}\right.}\)
[3]
[ [ 132, 135 ] ]
https://openalex.org/W2092660500
471814f8-478f-43cb-be74-c50a4b33a84e
in the case that \(l_1 \sim l_4\) are orbitals (\(X\) , \(X^{\prime }\) ) at site X (=A,B,C). In other cases, \(U_{l_{1}l_{2},l_{3}l_{4}}^s =0\) . Also, the matrix expression of the charge-channel Coulomb interaction is [1]}, [2]}, [3]} \(U_{l_{1}l_{2},l_{3}l_{4}}^c = {\left\lbrace \begin{array}{ll}-U, & l_1=l_2=l_3=l_4 \\U^{\prime }-2J , & l_1=l_3 \ne l_2=l_4 \\-2U^{\prime } + J, & l_1=l_2 \ne l_3=l_4 \\-J^{\prime } , & l_1=l_4 \ne l_2=l_3\end{array}\right.}\)
[3]
[ [ 233, 236 ] ]
https://openalex.org/W2092660500
17f88bac-c669-4f79-935e-871717699704
The spin (charge) susceptibility in the RPA, \(\chi ^{s(c)}_{ll^{\prime },mm^{\prime }}(q)\) , is given as [1]}, [2]}, [3]} \(\hat{\chi }^{s(c)}(q)= \hat{\chi }^0(q)(\hat{1}-\hat{U}^{s(c)}\hat{\chi }^0(q))^{-1} ,\)
[3]
[ [ 119, 122 ] ]
https://openalex.org/W2092660500
7242f394-0e55-48c1-ae02-c36241a566f2
Here, we derive the kernel function in the DW equation, \(I^{l l^{\prime }, m m^{\prime }}_{{ {\mathbf {q}} }}(k,k^{\prime })\) , studied in the main text. It is given as \(\delta ^2 \Phi _{\rm LW}/\delta G_{l^{\prime }l}(k)\delta G_{mm^{\prime }}(p)\) at \({ {\mathbf {q}} }={\mathbf {0}}\) in the conserving approximation scheme [1]}, [2]}, [3]}, where \(\Phi _{\rm LW}\) is the Luttinger-Ward function. Here, we apply the one-loop approximation for \(\Phi _{\rm LW}\) [4]}, [3]}. Then, \(I_{ {\mathbf {q}} }^{L,M}\) in this kagome model is given as \(&& I^{l l^{\prime }, m m^{\prime }}_{{ {\mathbf {q}} }} (k,k^{\prime })= \sum _{b = s, c} \frac{a^b}{2}\Bigl [ -V^{b}_{l m, l^{\prime } m^{\prime }} (k-k^{\prime })\nonumber \\&&+\frac{T}{N} \sum _{p} \sum _{l_1 l_2, m_1 m_2}V^{b}_{l l_1, m m_1} \left( p+{ {\mathbf {q}} }\right)V^{b}_{m^{\prime } m_2, l^{\prime } l_2} \left( p \right)\nonumber \\&& \qquad \qquad \qquad \quad \times G_{l_1 l_2} (k-p) G_{m_2 m_1} (k^{\prime }-p)\nonumber \\&&+\frac{T}{N} \sum _{p} \sum _{l_1 l_2, m_1 m_2}V^{b}_{l l_1, m_2 m^{\prime }} \left( p+{ {\mathbf {q}} }\right)V^{b}_{m_1 m, l^{\prime } l_2} \left( p \right)\nonumber \\&& \qquad \qquad \qquad \times G_{l_1 l_2} (k-p) G_{m_2 m_1} (k^{\prime }+p+{ {\mathbf {q}} }) \Bigr ] ,\)
[4]
[ [ 475, 478 ] ]
https://openalex.org/W2092660500
d68e315c-6e7c-4e89-9f8b-be6f7d301985
which is depicted in Fig. REF (b). Here \(\lambda _{ {\mathbf {q}} }\) is the eigenvalue that reaches unity at the transition temperature. \(\hat{f}_{ {\mathbf {q}} }\) is the form factor of the DW order, which corresponds to the “symmetry-breaking in the self-energy”. By solving Eq. (REF ), we can obtain the optimized momentum and orbital dependences of \(\hat{f}\) . This mechanism has been successfully applied to explain the electronic nematic orders in Fe-based [1]}, [2]}, [3]} and cuprate superconductors [4]}, and multipole orders in \(f\) -electron systems [5]}.
[1]
[ [ 472, 475 ] ]
https://openalex.org/W2092660500
9e07e8f0-56d5-4bf8-b4cb-682e26c84aef
which is depicted in Fig. REF (b). Here \(\lambda _{ {\mathbf {q}} }\) is the eigenvalue that reaches unity at the transition temperature. \(\hat{f}_{ {\mathbf {q}} }\) is the form factor of the DW order, which corresponds to the “symmetry-breaking in the self-energy”. By solving Eq. (REF ), we can obtain the optimized momentum and orbital dependences of \(\hat{f}\) . This mechanism has been successfully applied to explain the electronic nematic orders in Fe-based [1]}, [2]}, [3]} and cuprate superconductors [4]}, and multipole orders in \(f\) -electron systems [5]}.
[2]
[ [ 478, 481 ] ]
https://openalex.org/W3104988532
f91a90fd-de51-4452-9658-6ee259ef9f17
which is depicted in Fig. REF (b). Here \(\lambda _{ {\mathbf {q}} }\) is the eigenvalue that reaches unity at the transition temperature. \(\hat{f}_{ {\mathbf {q}} }\) is the form factor of the DW order, which corresponds to the “symmetry-breaking in the self-energy”. By solving Eq. (REF ), we can obtain the optimized momentum and orbital dependences of \(\hat{f}\) . This mechanism has been successfully applied to explain the electronic nematic orders in Fe-based [1]}, [2]}, [3]} and cuprate superconductors [4]}, and multipole orders in \(f\) -electron systems [5]}.
[4]
[ [ 517, 520 ] ]
https://openalex.org/W3159222123
83b0d243-33fd-438b-8dfa-af5ec9394f04
It is noteworthy that both the DW equation and the functional-renormalization group (fRG) method explain the nematic and smectic bond-order in single-orbital square lattice Hubbard models [1]}, [2]} and anisotropic triangular lattice ones [3]}. This fact means that higher-order diagrams other than MT or AL terms, that are included in the fRG method, are not essential in explaining the bond-order. Note that the contributions away from the conduction bands are included into \(N\) -patch fRG by applying the RG+cRPA method [1]}, [5]}, [3]}.
[1]
[ [ 188, 191 ], [ 525, 528 ] ]
https://openalex.org/W2616446735
fde0b944-a9e5-4b23-a337-189503145c90
It is noteworthy that both the DW equation and the functional-renormalization group (fRG) method explain the nematic and smectic bond-order in single-orbital square lattice Hubbard models [1]}, [2]} and anisotropic triangular lattice ones [3]}. This fact means that higher-order diagrams other than MT or AL terms, that are included in the fRG method, are not essential in explaining the bond-order. Note that the contributions away from the conduction bands are included into \(N\) -patch fRG by applying the RG+cRPA method [1]}, [5]}, [3]}.
[5]
[ [ 531, 534 ] ]
https://openalex.org/W3159222123
22892fa7-3a0f-469a-acc8-8416b2b23fc7
Here, we discuss the reason why bond-order fluctuations mediate the pairing interaction. In Ref. [1]}, the authors studied the orbital fluctuation mediated \(s\) -wave superconductivity in Fe-based superconductors. In that study, the electron-boson coupling (=form factor) is an orbital-dependent but \({ {\mathbf {k}} }\) -independent charge quadrupole operator: \(\hat{f}^{{ {\mathbf {q}} }}({ {\mathbf {k}} })=\hat{O}_\Gamma \) \((\Gamma =xz,yz,xy)\) . In the main text, we obtain the development of bond-order fluctuations with the \({ {\mathbf {k}} }\) -dependent form factor in AV\(_3\) Sb\(_5\) , which is given by the nonlocal vertex corrections (VCs) that are dropped in the RPA. We reveal that bond-order fluctuations mediate significant “beyond-Migdal” pairing interaction thanks to the \({ {\mathbf {k}} }\) -dependent form factor [2]}, and therefore \(s\) -wave and \(p\) -wave SC states emerge in AV\(_3\) Sb\(_5\) . <FIGURE>
[1]
[ [ 97, 100 ] ]
https://openalex.org/W2006613135
04841a27-6b02-4a85-a72e-5c728a40ba45
In feature attribution, we seek to allocate an individual model prediction \(\hat{y}\) to the features: \(\hat{y} = \mathrm {constant} +\phi _1 + \cdots + \phi _p\) . Recently, an attribution method based on Shapley values has gained popularity because of its nice theoretical properties and the availability of an efficient software implementation for tree-based models ([1]}). The contributions can be positive or negative, and for a feature \(x_i\) , its total absolute Shapley contribution \(\sum |\phi _i|\) over the training set may be used as another definition of the importance of \(x_i\) .
[1]
[ [ 373, 376 ] ]
https://openalex.org/W2787070805
80fb3e25-14ef-4e6e-b313-5e16c5656d60
Another body of research targets ICU readmissions. ICU readmissions may be a more difficult target for machine learning than the first ICU transfer since the former involves patients who have been discharged from the ICU by a human expert (the physician) presumably after extensive tests and monitoring. Desautels et al. [1]} learned a model to predict death and 48-hour ICU readmission when a patient is first discharged from the ICU. Their AdaBoost model containing 1,000 decision trees was trained on the MIMIC III dataset [2]} and achieved an accuracy of 70%, a sensitivity of 59%, and a specificity of 66%.
[2]
[ [ 526, 529 ] ]
https://openalex.org/W2396881363
b9e407f7-9e9d-4392-aca6-68a611110205
A number of other works studying transcription and splicing dynamics (e.g. [1]}, [2]}, [3]}) forgo detailed dynamical modelling, which limits their ability to properly account for varying mRNA half-lives. Our statistical model incorporates a linear ordinary differential equation of transcription dynamics, including mRNA degradation. Similar linear differential equation models have been proposed as models of mRNA dynamics previously [4]}, [5]}, [6]}, but assuming a specific parametric form for the transcriptional activity. In contrast, we apply a non-parametric Gaussian process framework that can accommodate a quite general shape of transcriptional activity. As demonstrated previously [7]}, [8]}, [9]}, the linearity of the differential equation allows efficient exact Bayesian inference of the transcriptional activity function. Before presenting our results we outline our modelling approach.
[7]
[ [ 693, 696 ] ]
https://openalex.org/W2124584833
afcd6e83-2c0a-4890-b4e5-b48235017672
A number of other works studying transcription and splicing dynamics (e.g. [1]}, [2]}, [3]}) forgo detailed dynamical modelling, which limits their ability to properly account for varying mRNA half-lives. Our statistical model incorporates a linear ordinary differential equation of transcription dynamics, including mRNA degradation. Similar linear differential equation models have been proposed as models of mRNA dynamics previously [4]}, [5]}, [6]}, but assuming a specific parametric form for the transcriptional activity. In contrast, we apply a non-parametric Gaussian process framework that can accommodate a quite general shape of transcriptional activity. As demonstrated previously [7]}, [8]}, [9]}, the linearity of the differential equation allows efficient exact Bayesian inference of the transcriptional activity function. Before presenting our results we outline our modelling approach.
[8]
[ [ 699, 702 ] ]
https://openalex.org/W2125373697
6d3d5187-b49c-4568-8d73-3bd1a5aa628e
We measure the transcriptional activity \(p(t)\) using RNA polymerase (pol-II) ChIP-Seq time course data collected close to the 3' end of the gene (reads lying in the last 20% of the transcribed region). Our main assumption is that pol-II abundance at the 3' end of the gene is proportional to the production rate of mature mRNA after a possible delay \(\Delta \) due to disengaging from the polymerase and processing. The mRNA abundance is measured using RNA-Seq reads mapping to annotated transcripts, taking all annotated transcripts into account and resolving mapping ambiguities using a probabilistic method [1]} (see Methods Section for details). As we limit our analysis to pol-II data collected from the 3'-end of the transcribed region, we do not expect a significant contribution to \(\Delta \) from transcriptional delays when fitting the model. Such transcriptional delays have recently been studied by modelling transcript elongation dynamics using pol-II ChIP-Seq time course data [2]} and nascent mRNA (GRO-Seq) data [3]} in the same system. Here we instead focus on production delays that can occur after elongation is essentially complete.
[1]
[ [ 615, 618 ] ]
https://openalex.org/W2097860373
ab84e4f9-60cb-43e4-a55f-a223d5fda99d
We have previously shown how to perform inference over differential equations driven by functions modelled using Gaussian processes [1]}, [2]}, [3]}. The main methodological novelty in the current work is the inclusion of the delay term in equation (REF ) and the development of a Bayesian inference scheme for this and other model parameters. In brief, we cast the problem as Bayesian inference with a Gaussian process prior distribution over \(p(t)\) that can be integrated out to obtain the data likelihood under the model in Eqn. (REF ) assuming Gaussian observation noise. This likelihood function and its gradient are used for inference with a Hamiltonian MCMC algorithm [4]} to obtain a posterior distribution over all model parameters and the full pol-II and mRNA functions \(p(t)\) and \(m(t)\) .
[1]
[ [ 132, 135 ] ]
https://openalex.org/W2124584833
efeda6bb-fcec-43d3-a6e2-77a56fa4d67c
We have previously shown how to perform inference over differential equations driven by functions modelled using Gaussian processes [1]}, [2]}, [3]}. The main methodological novelty in the current work is the inclusion of the delay term in equation (REF ) and the development of a Bayesian inference scheme for this and other model parameters. In brief, we cast the problem as Bayesian inference with a Gaussian process prior distribution over \(p(t)\) that can be integrated out to obtain the data likelihood under the model in Eqn. (REF ) assuming Gaussian observation noise. This likelihood function and its gradient are used for inference with a Hamiltonian MCMC algorithm [4]} to obtain a posterior distribution over all model parameters and the full pol-II and mRNA functions \(p(t)\) and \(m(t)\) .
[2]
[ [ 138, 141 ] ]
https://openalex.org/W2125373697
ece7a335-8b46-47a4-842e-22128fe2d66e
We have previously shown how to perform inference over differential equations driven by functions modelled using Gaussian processes [1]}, [2]}, [3]}. The main methodological novelty in the current work is the inclusion of the delay term in equation (REF ) and the development of a Bayesian inference scheme for this and other model parameters. In brief, we cast the problem as Bayesian inference with a Gaussian process prior distribution over \(p(t)\) that can be integrated out to obtain the data likelihood under the model in Eqn. (REF ) assuming Gaussian observation noise. This likelihood function and its gradient are used for inference with a Hamiltonian MCMC algorithm [4]} to obtain a posterior distribution over all model parameters and the full pol-II and mRNA functions \(p(t)\) and \(m(t)\) .
[4]
[ [ 678, 681 ] ]
https://openalex.org/W2059448777
72488c18-3a53-4d80-8ba4-5cb5a0b98e3c
mRNA concentration was estimated from RNA-seq read data using BitSeq [1]}. BitSeq is a probabilistic method to infer transcript expression from RNA-seq data after mapping to an annotated transcriptome. We estimated expression levels to all entries in the transcriptome, including the pre-mRNA transcripts, and used the sum of the mRNA transcript expressions in FPKM units to estimate the mRNA expression level of a gene. Different time points of the RNA-seq time series were normalised using the method of [2]}.
[1]
[ [ 69, 72 ] ]
https://openalex.org/W2097860373
9f69fd18-8ac1-45d8-86e8-4386aeddef85
mRNA concentration was estimated from RNA-seq read data using BitSeq [1]}. BitSeq is a probabilistic method to infer transcript expression from RNA-seq data after mapping to an annotated transcriptome. We estimated expression levels to all entries in the transcriptome, including the pre-mRNA transcripts, and used the sum of the mRNA transcript expressions in FPKM units to estimate the mRNA expression level of a gene. Different time points of the RNA-seq time series were normalised using the method of [2]}.
[2]
[ [ 506, 509 ] ]
https://openalex.org/W2152239989
d6d9c240-f611-4e7a-9357-7a52e596bc4b
Given the differential equation parameters, GP inference yields a full posterior distribution over the shape of the Pol-II and mRNA functions \(p(t)\) and \(m(t)\) . We infer the differential equation parameters from the data using MCMC sampling which allows us to assign a level of uncertainty to our parameter estimates. To infer a full posterior over the differential equation parameters \(\beta _0\) , \(\beta \) , \(\alpha \) , \(\Delta \) , \(m_0\) , \(E[p_0]=\mu _p\) , the observation model parameters \(\sigma _{p}^2\) , \(\sigma _{m}^2\) , and a magnitude parameter \(C_p\) and width parameter \(l\) of the GP prior, we set near-flat priors for them over reasonable value ranges, except for the delay \(\Delta \) whose prior is biased toward 0 (exact ranges and full details are presented in Supplementary Material). We combine these priors with the likelihood obtained from the GP model after marginalising out \(p(t)\) and \(m(t)\) , which can be performed analytically. We infer the posterior over the parameters by Hamiltonian MCMC sampling. This full MCMC approach utilises gradients of the distributions for efficient sampling and rigorously takes uncertainty over differential equation parameters into account. Thus the final posterior accounts for both the uncertainty about differential equation parameters, and uncertainty over the underlying functions for each differential equation. We ran 4 parallel chains starting from different random initial states for convergence checking using the potential scale reduction factor of [1]}. We obtained 500 samples from each of the 4 chains after discarding the first half of the samples as burn-in and thinning by a factor of 10. Posterior distributions over the functions \(p(t)\) and \(m(t)\) are obtained by sampling 500 realisations of \(p(t)\) and \(m(t)\) for each parameter sample from the exact Gaussian conditional posterior given the parameters in the sample. The resulting posteriors for \(p(t)\) and \(m(t)\) are non-Gaussian, and are summarised by posterior mean and posterior quantiles. Full details of the MCMC procedure are in Supplementary Material.
[1]
[ [ 1552, 1555 ] ]
https://openalex.org/W2148534890
5548062d-8dc6-4c22-ba3f-d13cb682cc9d
RNA-seq data were analysed at each time point separately using BitSeq [1]}. The reads were first mapped to human reference transcriptome (Ensembl v68) using Bowtie version 0.12.7 [2]}. In order to separate pre-mRNA activity as well, we augmented the reference transcriptome with pre-mRNA transcripts for each gene that consisted of the genomic sequence from the beginning of the first exon to the end of the last exon of the gene.
[1]
[ [ 70, 73 ] ]
https://openalex.org/W2097860373
a0674dcf-34f3-41f8-b8c9-689ca937d900
RNA-seq data were analysed at each time point separately using BitSeq [1]}. The reads were first mapped to human reference transcriptome (Ensembl v68) using Bowtie version 0.12.7 [2]}. In order to separate pre-mRNA activity as well, we augmented the reference transcriptome with pre-mRNA transcripts for each gene that consisted of the genomic sequence from the beginning of the first exon to the end of the last exon of the gene.
[2]
[ [ 179, 182 ] ]
https://openalex.org/W2124985265
8349e1ec-0188-4b8c-9300-cb7c39d10cc2
BitSeq uses a probabilistic model to probabilistically assign multimapping reads to transcript isoforms [1]}, in our case also including the pre-mRNA transcripts. We obtained gene expression estimates by adding the corresponding mRNA transcript expression levels. In addition to the mean expression levels, BitSeq provides variances of the transcript isoform expression levels. We further used the biological variance estimation procedure from BitSeq differential expression analysis on the estimated gene expression levels by treating the first three time points (0, 5, 10 min) as biological replicates. Genes with similar mean expression levels (log-RPKM) were grouped together such that each group contained 500 genes except for the last group with 571 genes with the highest expression. Then, the biological variances were estimated for each group of genes by using the Metropolis–Hastings algorithm used in BitSeq stage 2 [1]}. Biological variances for the single measurements were determined according to the gene expression levels at each time point, where each gene was considered to belong to the closest gene group according to its expression level. The observation noise variance for each observation was defined as the sum of the technical (BitSeq stage 1) and biological (BitSeq stage 2) variances, and transformed from log-expression to raw expression using \(\sigma ^2_{\text{raw}} = \sigma ^2_{\text{log}} \exp (\mu _{\text{log}})^2.\)
[1]
[ [ 104, 107 ], [ 927, 930 ] ]
https://openalex.org/W2097860373
2e4b92f1-282b-49c8-b491-0e750e36813b
Different time points of the RNA-seq time series were normalised using the method of [1]} as implemented in the edgeR R/Bioconductor package [2]}.
[1]
[ [ 85, 88 ] ]
https://openalex.org/W2152239989
96319471-737d-4d05-9fc6-17757aa0a334
Different time points of the RNA-seq time series were normalised using the method of [1]} as implemented in the edgeR R/Bioconductor package [2]}.
[2]
[ [ 141, 144 ] ]
https://openalex.org/W2114104545