bluuebunny/crossref_metadata_2025_split huggingface dataset:
Thickness-dependent carrier transport of PdSe2 films grown by plasma-assisted metal selenization
Authors: Zhang Rui , Zhang Qiusong , Jia Xinyu , Wen Shaofeng , Wu Haolun , Gong Yimin , Yin Yi , Lan Changyong , Li Chun 
Published: May 2023

Abstract
Atomically thin narrow-bandgap layered PdSe2 has attracted much attention due to its rich and unique electrical properties. For silicon-compatible device integration, direct wafer-scale preparation of high-quality PdSe2 thin film on a silicon substrate is highly desired. Here, we present the low-temperature synthesis of large-area polycrystalline PdSe2 films grown on SiO2/Si substrates by plasma-assisted metal selenization and investigate their charge carrier transport behaviors. Raman analysis, depth-dependent x-ray photoelectron spectroscopy, and cross-sectional transmission electron microscopy were used to reveal the selenization process. The results indicate a structural evolution from initial Pd to intermediate PdSe2–x
phase and eventually to PdSe2. The field-effect transistors fabricated from these ultrathin PdSe2 films exhibit strong thickness-dependent transport behaviors. For thinner films (4.5 nm), a record high on/off ratio of 104 was obtained. While for thick ones (11 nm), the maximum hole mobility is about 0.93 cm2 V−1 S−1, which is the record high value ever reported for polycrystalline films. These findings suggest that our low-temperature-metal-selenized PdSe2 films have high quality and show great potential for applications in electrical devices.
A compact multi-output chaotic system with amplitude/frequency control
Authors: Li Zhinan , Li Chunbiao , Zhang Xin , Rajagopal Karthikeyan 
Published: May 2023

Abstract
A compact switchable chaotic oscillator is proven with great benefit for chaos-based application. The multifarious chaotic signals with multiple amplitude and frequency can save the circuit modules for signal conditioning. By introducing more linear terms in those chaotic systems with amplitude/frequency control, a compact multi-output chaotic system is derived and corresponding simplified circuit is constructed, where only two multipliers are employed in the simplified circuit avoiding the overusing of integrated components. Simplified chaotic circuit outputs more applicable chaotic signals for chaos-based engineering. Circuit simulation proves the convenience for outputting desired oscillations.
Revisiting time delay interferometry for unequal-arm LISA and TAIJI
Authors: Wang Gang , Ni Wei-Tou 
Published: May 2023

Abstract
Three spacecraft of LISA/TAIJI mission follow their respective geodesic trajectories, and their interferometric arms are unequal and time-varying due to orbital dynamics. Time-delay interferometry (TDI) is proposed to suppress the laser frequency noise caused by the unequal-arm. By employing the numerical orbit, we investigate the sensitivity of the first-generation TDI configurations and their corresponding optimal A, E, and T channels. The sensitivities of T channels from Michelson and Monitor/Beacon configurations diverge from the equal-arm case in frequencies lower than 10 mHz, and their performances vary with the inequality of the arm lengths. The mismatches of the laser beam paths are evaluated in a dynamic case, and the residual laser noise in the first-generation TDI could not satisfy the mission requirement.
Large omnidirectional mid-infrared photonic bandgap in a one-dimensional ternary photonic crystal consisting of isotropic dielectric, elliptical metamaterial and plasma
Authors: Wu Feng , Cheng Zhaoming , She Yuchun , Li Yan , Panda Abinash 
Published: May 2023

Abstract
Photonic bandgaps (PBGs) in traditional one-dimensional (1-D) binary photonic crystals (PhCs) consisting of two kinds of isotropic dielectrics strongly shift towards shorter wavelengths as incident angle increases. Such blueshift property of PBGs intensively limits the widths of omnidirectional photonic bandgaps (OPBGs). Very recently, researchers achieved a special kind of PBGs called angle-insensitive PBGs in novel 1-D binary PhCs consisting of isotropic dielectric and elliptical metamaterial (EMM). The emergence of such angle-insensitive PBGs provides us an opportunity to achieve large OPBGs. Herein, we periodically introduce plasma layers into a 1-D binary PhC consisting of isotropic dielectric and EMM with an angle-insensitive PBG to achieve a large OPBG at mid-infrared wavelengths. The EMM is mimicked by an all-dielectric subwavelength multilayer. The broaden effect of the OPBG originates from the plasmonic property of plasma and the angle-insensitive property of the PBG. The width of the OPBG reaches 4.19 μm. Our work provides a feasible route to achieving large OPBGs in 1-D PhCs and would promote the development of OPBG-based devices, such as omnidirectional broadband reflectors and omnidirectional filters.
A new method for constructing discrete hyperchaotic systems with a controllable range of Lyapunov exponents and its application in information security
Authors: Zeng Jian , Wang Yiming , Li Xinyu , Guang Yerui , Wang Chuanfu , Ding Qun 
Published: May 2023

Abstract
Since people use chaos extensively for a wide range of applications in data encryption and secure communications, a new method for designing practical high-dimensional discrete hyperchaotic systems is proposed for the first time in this paper. This method controls the range of the Lyapunov exponents in reverse by adding control variables so that the range of the values of the Lyapunov exponents is controlled within a specified interval, which is more suitable for engineering applications. Then, it is mathematically proved that the method ensures that the orbits of chaotic systems are globally finite and their Lyapunov exponents are bounded. In addition, as a practical demonstration of the selective image encryption scheme based on target template matching introduced in this paper, a 6D discrete hyperchaotic system was created, and the analysis of the simulation results verifies the applicability of the 6D hyperchaotic system designed by the method presented in this paper in the field of image encryption.
Gauge equivalent structures of the integrable (2+1)-dimensional nonlocal nonlinear Schrödinger equations and their applications
Authors: Zhu Xiaoming 
Published: May 2023

Abstract
In this paper, we are concerned with the gauge equivalent structures for the integrable (2+1)-dimensional nonlocal nonlinear Schrödinger (NLS) equations. Through constructing the gauge transformation, we prove that these (2+1)-dimensional nonlocal equations, both focusing and defocusing, are gauge equivalent to two types of coupled (2+1)-dimensional Heisenberg ferromagnet equations and two types of coupled (2+1)-dimensional modified Heisenberg ferromagnet equations. As an appropriate extension, we further illustrate that the nonlocal NLS equation is gauge equivalent to two types of coupled Heisenberg ferromagnet equations and two types of coupled modified Heisenberg ferromagnet equations, while its discrete version is gauge equivalent to two types of coupled discrete Heisenberg ferromagnet equations and two types of coupled discrete modified Heisenberg ferromagnet equations, respectively. From its invariance with the combined parity-reflection and time-reversal operators, we can observe that there exist significant differences and intimate connections between standard and nonlocal equations. On the other hand, by using the Darboux transformation and some limit techniques, two types of deformed soliton solutions, namely, the deformed exponential solitons and the deformed rational solitons for the (2+1)-dimensional nonlocal defocusing NLS equation are given explicitly. With no loss of generality, two deformed soliton interactions and their various degenerate cases are discussed and illustrated through some figures.
Band topology and Bloch oscillation in an extended Creutz ladder
Authors: Zheng Yi , Sun Tongyue , Yang Shi-Jie 
Published: May 2023

Abstract
We study an extended Creutz ladder system, which supports topological phase transition as revealed by the change of topological invariant and by distinct pseudospin textures. With a linear force along the ladder, Bloch oscillation on topological bands is studied. At the topological phase transition point, the oscillation period is doubled due to band crossings and the wave packet evolves alternatively on the two bands. The magnitude of pseudospin polarizations in Bloch oscillation provide a dynamical identification of the topological feature. The local pseudospin polarizations along y − and z − axis are directly related to measurable inter-leg current and density difference. We also show the micromotion and non-adiabatic propagations of the Bloch wave packet. A small density oscillation beyond the description of Bloch oscillation is revealed. At avoided band crossings, the transition probability of the Landau-Zener tunneling is obtained. Our results exhibit a transparent framework to understand the properties of topological bands and of Bloch wave dynamics.
Primordial black holes and gravitational waves induced by exponential-tailed perturbations
Authors: Abe Katsuya T. , Inui Ryoto , Tada Yuichiro , Yokoyama Shuichiro 
Published: May 2023

Abstract
Primordial black holes (PBHs) whose masses
are in ∼ [10-15
M
⊙,10-11
M
⊙]
have been extensively studied as a candidate of whole dark matter (DM).
One of the probes to test such a PBH-DM scenario
is scalar-induced stochastic gravitational waves (GWs) accompanied with the enhanced primordial fluctuations to form the PBH with frequency
peaked in the mHz band being targeted by the LISA mission.
In order to utilize the stochastic GW for checking the PBH-DM scenario, it needs to exactly relate the PBH abundance and the amplitude of the GW spectrum.
Recently in Kitajima et al. [1],
the impact of the non-Gaussianity of the enhanced primordial curvature perturbations on the PBH abundance has been investigated based on the peak theory,
and they found that a specific non-Gaussian feature called the exponential tail significantly increases the PBH abundance compared with the Gaussian case.
In this work, we investigate the spectrum of the induced stochastic GW associated with PBH DM in the exponential-tail case.
In order to take into account the non-Gaussianity properly, we employ the diagrammatic approach for the calculation of the spectrum.
We find that the amplitude of the stochastic GW spectrum is slightly lower than the one for the Gaussian case, but it can still be detectable with the LISA sensitivity.
We also find that the non-Gaussian contribution can appear on the high-frequency side through their complicated momentum configurations.
Although this feature emerges under the LISA sensitivity, it might be possible to obtain information about the non-Gaussianity from GW observation with a deeper sensitivity such as the DECIGO mission.
PyEcoLib: a python library for simulating stochastic cell size dynamics
Authors: Nieto César , Blanco Sergio Camilo , Vargas-García César , Singh Abhyudai , Juan Manuel Pedraza 
Published: May 2023

Abstract
Recently, there has been an increasing need for tools to simulate cell size regulation due to important applications in cell proliferation and gene expression. However, implementing the simulation usually presents some difficulties, as the division has a cycle-dependent occurrence rate. In this article, we gather a recent theoretical framework in PyEcoLib, a python-based library to simulate the stochastic dynamics of the size of bacterial cells. This library can simulate cell size trajectories with an arbitrarily small sampling period. In addition, this simulator can include stochastic variables, such as the cell size at the beginning of the experiment, the cycle duration timing, the growth rate, and the splitting position. Furthermore, from a population perspective, the user can choose between tracking a single lineage or all cells in a colony. They can also simulate the most common division strategies (adder, timer, and sizer) using the division rate formalism and numerical methods. As an example of PyecoLib applications, we explain how to couple size dynamics with gene expression predicting, from simulations, how the noise in protein levels increases by increasing the noise in division timing, the noise in growth rate and the noise in cell splitting position. The simplicity of this library and its transparency about the underlying theoretical framework yield the inclusion of cell size stochasticity in complex models of gene expression.
Revisiting band structures in 118Xe nucleus via in-beam γ-ray spectroscopy*
Authors: Pandey A. , Bhushan R. , Rohilla A. , Majumder C. , Sharma H. P. , Chakraborty S. , Singh R. P. , Muralithar S. , Yashraj  , Katre K. , Rohila B. , Subodh  , Kumar A. , Govil I. M. , Jehangir S. , Rather N. , Bhati G. H. , Wani A. A. , Sheikh J. A. , Chamoli S. K. 
Published: May 2023

Abstract
The neutron deficient Xe nuclei with A

120 are predicted to have strong octupole correlation at low spins. In the present study, an attempt was made to improve upon the level scheme and also to examine the signatures of octupole correlation in

Xe via high spin γ-ray spectroscopy. High spin states in

Xe have been populated via the

Nb(

Si, p2n)

Xe fusion-evaporation reaction at a beam energy of 115 MeV provided by the 15 UD pelletron accelerator facility at IUAC, New Delhi. In the experiment, seven new γ-transitions have been found and placed appropriately in the level scheme. A theoretical study using the triaxial projected shell model (TPSM) approach suggests that the first bandcrossing is due to the alignment of two neutrons, and a parallel band tracking the yrast configuration is the γ-band built on the two-quasiparticle state. Enhanced E1 transition rates measured between opposite parity bands involving νh

and ν
d

orbitals having Δj = Δl = 3 indicate the presence of octupole correlation in this nucleus.
Onset of chaotic gravitational lensing in non-Kerr rotating black holes with quadrupole mass moment*
Authors: Wu Wen-Hao , Zhang Cheng-Yong , Shao Cheng-Gang , Qian Wei-Liang 
Published: May 2023

Abstract
In the electromagnetic channel, chaotic gravitational lensing is a peculiar phenomenon in strong gravitational lensing. In this study, we analyze the properties and emergence of chaotic gravitational lensing in the Manko-Novikov black hole spacetime. Aiming to better understand the underlying physics, we elaborate on the boundaries of the accessible region through analyses of the contours of the effective potentials. The latter is associated with the two roots of a quadratic equation. In particular, we explore its interplay with an ergoregion, which leads to specific features of the effective potentials, such as the emergence of a cuspy edge and the formation of a pocket, which serve as static constraints on the geodesics. Additionally, we investigate the properties of the radial and angular accelerations at the turning points in photon trajectories. The accelerations are further examined and may provide kinematic constraints on the geodesics, as argued herein. It is concluded that the onset of the chaotic lensing is significantly related to both constraints; as a result, an arbitrary slight deviation in the incident photon is significantly amplified during evolution through an extensive period, demonstrating the complexity in the highly nonlinear deterministic gravitational system.
Timing and Single-pulse Study of Pulsar J1909+0122 Discovered by CRAFTS
Authors: Chen Yutong , Wang Pei , Li Di , Gügercinoğlu Erbil , Zhao Rushuang , Meng Lingqi , Yuan Jianping , Niu Jiarui , Zhu Weiwei , Feng Yi , Miao Chenchen , Niu Chenhui , Wu Qingdong , Wang Na , Wang Shen , Xie Xiaoyao , Xue Mengyao , Yao Jumei , Yuan Mao , You Shanping , Yu Xuhong , Yue Youling , Zhang Jie , Zhang Junshuo , Zhang Lei , Wang Yabiao , Gan Zhenye , Li Yuxi , Sun Zhongyi , Wang Chengjie 
Published: May 2023

Abstract
We report the discovery of PSR J1909+0122 by the Five-hundred-meter Aperture Spherical Radio Telescope (FAST) as part of the Commensal Radio Astronomy FAST Survey. PSR J1909+0122 has a spin period of 1.257 s and a dispersion measure of 186.2 pc cm−3. The averaged pulse profile shows two distinct components. We performed a single-pulse study based on a one-hour observation at 1.25 GHz on 2021 August 23. We used a threshold of 5σ
ep to measure the nulling fraction (NF) as 63% ± 1.5%. The longitude-resolved fluctuation spectra and fast Fourier transform spectra of the binary sequences revealed the quasi-periodicity of nulling with a period of 30 rotation periods. We examined the reliability of the periodicity by comparing it to random noise injection. The NF,

E

̇

, and modulation periodicity P

M
of PSR J1909+0122 were compared with other periodic nulling pulsars, showing that the source of J1909+0122 has the second largest NF in the population. Long-term timing observations over six months were used to derive the phase-connected ephemeris of this pulsar. The measured P and

P
̇

values disfavor dipolar geometry for polar gap models, and the prediction for a space-charge-limited flow model in the case of inverse Compton scattering is only just above the death line. In this work, PSR J1909+0122 has revealed possible correlations between nulling behavior and pulsar properties, which will help to shed light on the pulsar emission mechanism and its temporal evolution in future observations.
Study of the Long-term BVR

c

I

c
Photometric Variability of Eight PMS Stars in the Young Open Cluster Trumpler 37*
Authors: Ibryamov Sunay , Zidarova Gabriela , Semkov Evgeni , Peneva Stoyanka 
Published: May 2023

Abstract
This paper reports results from our long-term BV(RI)
c
photometric CCD observations of eight pre-main sequence stars collected from 2008 June to 2022 October. These stars are located in the young open cluster Trumpler 37, in the field of GM Cephei. The observational data indicate that all stars from our study exhibit variability in all-optical passbands, typical for young stars. In this paper, we describe and discuss the photometric behavior of the stars and the possible reasons for their variability. For two of the objects, we identified periodicity in their light variation.
Brain model state space reconstruction using an LSTM neural network
Authors: Liu Yueyang , Soto-Breceda Artemio , Karoly Philippa , Grayden David B , Zhao Yun , Cook Mark J , Schmidt Daniel , Kuhlmann Levin 
Published: May 2023

Abstract

Objective. Kalman filtering has previously been applied to track neural model states and parameters, particularly at the scale relevant to electroencephalography (EEG). However, this approach lacks a reliable method to determine the initial filter conditions and assumes that the distribution of states remains Gaussian. This study presents an alternative, data-driven method to track the states and parameters of neural mass models (NMMs) from EEG recordings using deep learning techniques, specifically a long short-term memory (LSTM) neural network. Approach. An LSTM filter was trained on simulated EEG data generated by a NMM using a wide range of parameters. With an appropriately customised loss function, the LSTM filter can learn the behaviour of NMMs. As a result, it can output the state vector and parameters of NMMs given observation data as the input. Main results. Test results using simulated data yielded correlations with R squared of around 0.99 and verified that the method is robust to noise and can be more accurate than a nonlinear Kalman filter when the initial conditions of the Kalman filter are not accurate. As an example of real-world application, the LSTM filter was also applied to real EEG data that included epileptic seizures, and revealed changes in connectivity strength parameters at the beginnings of seizures. Significance. Tracking the state vector and parameters of mathematical brain models is of great importance in the area of brain modelling, monitoring, imaging and control. This approach has no need to specify the initial state vector and parameters, which is very difficult to do in practice because many of the variables being estimated cannot be measured directly in physiological experiments. This method may be applied using any NMM and, therefore, provides a general, novel, efficient approach to estimate brain model variables that are often difficult to measure.
Research on the simulation of SVG for online de-icing on distribution lines
Authors: Zou Diao , Mao Xiyin , Yang Qi , Zhang Lusong , Lv Qianyong , Zhang Qili , Zhang Yizhao , Bang Guobang 
Published: May 2023

AbstractThe distribution network connects with families, more branch circuit breakers, more and more users rely on power in winter, which requires higher and higher reliability requirements for power supply. The power supply department is facing greater pressure to stop distribution line for de-icing. In view of the above reasons, this paper first briefly introduces several measures of de-icing without power failure, and selects the technical route of injecting reactive power at the end of the line for online de-icing; secondly, it introduces the principle of SVG device generating reactive power, which uses reactive power to generate heat loss in the distribution network line for on-line de-icing, and then proposes an improved reactive power outer loop control strategy to make it equivalent to current source De-icing device; Finally, a simulation model is built in PSCAD. Taking a 5km ACSR (LGJ-120) line with 5.4Mvar reactive power injected at the end of the line as an example, it can be seen that the line current reaches more than 500A due to the injected reactive power. The simulation results prove the effectiveness of the method. Considering its economy, it provides a feasible way for the distribution network with important loads Electric deicing scheme.
Optimal reconfiguration of distribution network based on deep fuzzy c-means clustering algorithm
Authors: Yang Qiang , Zhao Ergang , Ma Xin , Xu Lina , Du Xiuju , Luo Xin 
Published: May 2023

Abstract
This study examines the best distribution network reconfiguration to enhance distribution network safety and reduce active power loss. Distribution networks can be reconfigured using a deep fuzzy C-means (FCM) clustering method with the objective of the least amount of active power loss. By creating a novel framework, the size of the neural network is lowered by modifying the number of neurons in input layer. With the simulations tested on IEEE 33-bus distribution network, the outcomes of traditional approaches, such as the Branch-and-Cut and the switching algorithms, are contrasted with the simulation results. The comparative results clearly show advantages to employing the suggested framework for distribution network reconfiguration, such as a quick turnaround time far quicker than the alternatives. These characteristics demonstrate how well the suggested paradigm may be applied to distribution network real-time reconfiguration.
Fuzzy evaluation of substation switching misoperation risk based on CRITIC-G1 method
Authors: Zhang Junjie , Chen Xiao , Jin Guihong , Zhang Li , Luo Xianyao , Pan Jun 
Published: May 2023

Abstract
In order to prevent the risk of misoperation in the process of substation switching operation more effectively, a fuzzy evaluation method based on the combination weighting model of CRITIC-G1 method is proposed. Firstly, on the basis of taking into account the effectiveness and feasibility, the key factors affecting the safety and correctness of the substation switching operation are comprehensively considered, and the risk evaluation index system of the substation switching misoperation is established; Then, the index volatility and conflict obtained by the CRITIC method is used to modified the G1 subjective weighting method, and the weight value is calculated; Furthermore, the normal membership function is introduced to realize the fuzzy evaluation. Finally, 5 substations belonging to different operation teams are taken as examples to verify the rationality and effectiveness of the proposed method.