bluuebunny/crossref_metadata_2025_split huggingface dataset:
Preparation and magnetic properties of Co2-based Heusler alloy glass-coated microwires with high Curie temperature
Authors: Salaheldeen M. , Ipatov M. , Zhukova V. , García-Gomez A. , Gonzalez J. , Zhukov A. 
Published: February 2023

In this article, we studied the effect of annealing (600 °C for 1 h) and the applied magnetic field from 50 Oe to 20 kOe of Co2FeSi glass-coated microwires with ordered L21 structure prepared by Taylor–Ulitovsky technique on the magnetic behavior. The as-prepared and annealed samples show a ferromagnetic behavior at the range of measuring temperature (5 to 400 K) and magnetic field (50 Oe to 20 kOe). M–H loops of as prepared sample do not show a squared shape. Meanwhile, perfectly squared hysteresis loops have detected for the annealed sample. In addition, annealed sample shows high magnetization M/M5K ratio, coercivity, and anisotropy field, as-compared to the as-prepared one. The annealed sample shows considerable irreversibility when the magnetic behavior changes with temperature upon the applied magnetic field at 50 and 200 Oe. Such irreversibility does not found in the as-prepared sample measured at the same magnetic field due to mixed amorphous and crystalline structure. By increasing the external magnetic field higher than 200 Oe and up to 20 kOe a gradual changing in the magnetic behavior has been detected where the irreversibility disappeared at applying magnetic field about 1 kOe and the magnetic behavior is totally change by increasing the external magnetic field up to the maximum 20 kOe. The difference in the magnetic behavior of the annealed glass-coated Co2FeSi glass-coated microwires indicates the effect of internal stresses induced by the presence of the glass-coating and the annealing-induced recrystallization.
Growth temperature-controlled Gilbert damping and anisotropies in PLD grown epitaxial Co2FeSi Heusler alloy thin film
Authors: Sharma Vipul , Kumar Prashant , Sharma Vinay , Kuanr Bijoy Kumar 
Published: February 2023

The utilization of spin rather than charge as a functional aspect in the electronic devices will result in an energy-efficient, thermally stable, and fast operation. Cobalt-based Heusler alloy Co2FeSi (CFS) offers excellent possibilities due to its high curie temperature, large spin polarization, and low Gilbert damping (α). Small damping makes the alloy fascinating for spin transfer torque magnetoresistive random-access memory (STT-MRAM) devices where a low α causes a low value of switching current. The present investigation explored the effect of deposition temperature on the chemical, structural and magnetic properties of the pulsed laser deposition grown single-crystal CFS film of thickness 50 nm on a lattice-matched (001) MgO substrate. The XRD data suggest that Co site atomic ordering and overall film crystallinity improved with temperature, resulting in a minimal value of α obtained from ferromagnetic resonance (FMR) experiment in the film grown at 600°C. The azimuthal angular variation (φ) of FMR field data gives a fourfold anisotropy pattern that confirms the single-crystal CFS film epitaxially grown on the MgO substrate. Two in-plane anisotropies, namely cubic (four-fold) and uniaxial, were obtained in all the samples. This investigation is crucial in the fabrication of fast spintronics based memory and processing devices.
Ice and ocean constraints on early human migrations into North America along the Pacific coast
Authors: Praetorius Summer K. , Alder Jay R. , Condron Alan , Mix Alan C. , Walczak Maureen H. , Caissie Beth E. , Erlandson Jon M. 
Published: February 2023

Founding populations of the first Americans likely occupied parts of Beringia during the Last Glacial Maximum (LGM). The timing, pathways, and modes of their southward transit remain unknown, but blockage of the interior route by North American ice sheets between ~26 and 14 cal kyr BP (ka) favors a coastal route during this period. Using models and paleoceanographic data from the North Pacific, we identify climatically favorable intervals when humans could have plausibly traversed the Cordilleran coastal corridor during the terminal Pleistocene. Model simulations suggest that northward coastal currents strengthened during the LGM and at times of enhanced freshwater input, making southward transit by boat more difficult. Repeated Cordilleran glacial-calving events would have further challenged coastal transit on land and at sea. Following these events, ice-free coastal areas opened and seasonal sea ice was present along the Alaskan margin until at least 15 ka. Given evidence for humans south of the ice sheets by 16 ka and possibly earlier, we posit that early people may have taken advantage of winter sea ice that connected islands and coastal refugia. Marine ice-edge habitats offer a rich food supply and traversing coastal sea ice could have mitigated the difficulty of traveling southward in watercraft or on land over glaciers. We identify 24.5 to 22 ka and 16.4 to 14.8 ka as environmentally favorable time periods for coastal migration, when climate conditions provided both winter sea ice and ice-free summer conditions that facilitated year-round marine resource diversity and multiple modes of mobility along the North Pacific coast.
A systematic analysis of deuteron breakup
Authors: Torabi F , Carlson B V 
Published: February 2023

Abstract
Inclusive breakup cross sections for deuterons incident on a wide range of nuclei at different incident energies are studied. In our analysis, we use the post-form distorted-wave-Born approximation (DWBA) to calculate the elastic and nonelastic breakup cross sections. We also calculate exciton and statistical compound-nucleus model cross sections to account for pre-equilibrium and equilibrium emissions. The calculations are performed using the code EMPIRE and are compared to the available experimental data. The comparisons of the integrated cross sections reveal a generally good agreement between the calculations and the data. However, systematic discrepancies are observed between the calculated double differential neutron and proton cross sections and the data, especially for heavier targets. Possible reasons for the disagreements between the theoretical predictions and the experimental data are discussed.
63Cu(n, α)60Co cross sections in the MeV region
Authors: Liu Jie , Cui Zengqi , Hu Yiwei , Bai Haofan , Yang Yi , Ruan Xichao , Xia Cong , Chen Jinxiang , Zhang Guohui , Gledenov Yu M , Sansarbayar E , Khuukhenkhuu G , Krupa L , Chuprakov I , Huang Hanxiong , Ren Jie , Fan Qiwen , Gao Yuan , Yang Xiangjun 
Published: February 2023

Abstract
Cross sections of the 63Cu(n, α)60Co reaction in the MeV neutron energy region were measured using both the direct measurement method and the activation method. A twin-gridded ionization chamber was used for the direct measurement while the high-purity germanium detector was used for the activation method. The measured cross sections using the two methods are consistent within measurement uncertainties. The present results support the evaluation data in the ENDF/B-VII.1 library instead of the latest evaluation data in the ENDF/B-VIII.0 library, which is helpful to clarify discrepancies in measurement and evaluation data. TALYS-1.9 code analysis was performed which shows that the measurement cross sections can be well reproduced with minor adjustments of the input parameters. Through the calculation, it is found that the compound mechanism predominates the 63Cu(n, α)60Co reaction with ratios higher than 0.7 for neutron energy less than 20 MeV.
Thermoelectric transport properties of metal phosphide XLiP (X = Sr,Ba)
Authors: Yuan Xingzhu , Zhao Yinchang , Ni Jun , Meng Sheng , Dai Zhenhong 
Published: February 2023

Abstract
Metal phosphides are stable and have excellent electrical characteristics, their high thermal conductivity has prevented them from being used as thermoelectric materials. In this paper, the thermoelectric transport properties of XLiP (X = Sr Ba) are investigated on the basis of first-principles calculations, Boltzmann transport equation and self-consistent phonon theory. In addition, we also consider the effect of quartic anharmonicity on the thermal transport properties and lattice dynamics of SrLiP and BaLiP. The strong anharmonicity of the two compounds make the lattice thermal conductivity decrease rapidly with the increase of temperature. At 300 K, the lattice thermal conductivity of SrLiP and BaLiP on the a(b)-axis is only 2.98 and 2.93 Wm−1K−1, respectively. Due to its excellent electron transport properties, it has greater conductivity in the a(b) axis. Finally, due to the energy pocket and anisotropy at the bottom of the conduction band, the n-type maximum ZT values of trapped SrLiP and BaLiP on the a(b) axis are 0.87 and 0.94 at 900 K, respectively. The high thermoelectric performance of both compounds encourages further studies on the thermoelectric properties of metal phosphides.
Nanodesigns for Na3V2(PO4)3-based cathode in sodium-ion batteries: a topical review
Authors: Hao Ze-Lin , Du Miao , Guo Jin-Zhi , Gu Zhen-Yi , Zhao Xin-Xin , Wang Xiao-Tong , Lü Hong-Yan , Wu Xing-Long 
Published: February 2023

Abstract
With the rapid development of sodium-ion batteries (SIBs), it is urgent to exploit the cathode materials with good rate capability, attractive high energy density and considerable long cycle performance. Na3V2(PO4)3 (NVP), as a NASICON-type electrode material, is one of the cathode materials with great potential for application because of its good thermal stability and stable. However, NVP has the inherent problem of low electronic conductivity, and various strategies are proposed to improve it, moreover, nanotechnology or nanostructure are involved in these strategies, the construction of nanostructured active particles and nanocomposites with conductive carbon networks have been shown to be effective in improving the electrical conductivity of NVP. Herein, we review the research progress of NVP performance improvement strategies from the perspective of nanostructures and classifies the prepared nanomaterials according to their different nano-dimension. In addition, NVP nanocomposites are reviewed in terms of both preparation methods and promotion effects, and examples of NVP nanocomposites at different nano-dimension are given. Finally, some personal views are presented to provide reasonable guidance for the research and design of high-performance polyanionic cathode materials of SIBs.
Electronic and surface modulation of 2D MoS2 nanosheets for an enhancement on flexible thermoelectric property
Authors: Yang Yaocheng , He Dunren , Zhou Yuan , Wen Shuangchun , Huang Huihui 
Published: February 2023

Abstract
Two-dimensional materials have potential applications for flexible thermoelectric materials because of their excellent mechanical and unique electronic transport properties. Here we present a functionalization method by a Lewis acid-base reaction to modulate atomic structure and electronic properties at surface of the MoS2 nanosheets. By AlCl3 solution doping, the lone pair electronics from S atoms would enter into the empty orbitals of Al3+ ions, which made the Fermi level of the 1T phase MoS2 move towards valence band, achieving a 1.8-fold enhancement of the thermoelectric power factor. Meanwhile, benefiting from the chemical welding effect of Al3+ ions, the mechanical flexibility of the nanosheets restacking has been improved. We fabricate a wearable thermoelectric wristband based on this improved MoS2 nanosheets and achieved 5 mV voltage output when contacting with human body. We think this method makes most of the transition metal chalcogenides have great potential to harvest human body heat for supplying wearable electronic devices due to their similar molecular structure.
Nonlinear stability of the two-jet Kolmogorov type flow on the unit sphere under a perturbation with nondissipative part
Authors: Miura Tatsu-Hiko 
Published: February 2023

Abstract
We consider the vorticity form of the Navier–Stokes equations on the two-dimensional unit sphere and study the nonlinear stability of the two-jet Kolmogorov type flow which is a stationary solution given by the zonal spherical harmonic function of degree two. In particular, we assume that a perturbation contains a nondissipative part given by a linear combination of the spherical harmonics of degree one and investigate the effect of the nondissipative part on the long-time behaviour of the perturbation through the convection term. We show that the nondissipative part of a weak solution to the nonlinear stability problem is preserved in time for all initial data. Moreover, we prove that the dissipative part of the weak solution converges exponentially in time towards an equilibrium which is expressed explicitly in terms of the nondissipative part of the initial data and does not vanish in general. In particular, it turns out that the asymptotic behaviour of the weak solution is finally determined by a system of linear ordinary differential equations. To prove these results, we make use of properties of Killing vector fields on a manifold. We also consider the case of a rotating sphere.
Effective optimization strategy for large optimization volume object, remaining volume at risk (RVR): α-value selection and usage from generalized equivalent uniform dose (gEUD) curve deviation perspective
Authors: Anetai Yusuke , Takegawa Hideki , Koike Yuhei , Nakamura Satoaki , Tanigawa Noboru 
Published: February 2023

Abstract

Objective. A large optimization volume for intensity-modulated radiation therapy (IMRT), such as the remaining volume at risk (RVR), is traditionally unsuitable for dose-volume constraint control and requires planner-specific empirical considerations owing to the patient-specific shape. To enable less empirical optimization, the generalized equivalent uniform dose (gEUD) optimization is effective; however, the utilization of parameter a-values remains elusive. Our study clarifies the a-value characteristics for optimization and to enable effective a-value use. Approach. The gEUD can be obtained as a function of its a-value, which is the weighted generalized mean; its curve has a continuous, differentiable, and sigmoid shape, deforming in its optimization state with retained curve characteristics. Using differential geometry, the gEUD curve changes in optimization is considered a geodesic deviation intervened by the forces between deforming and retaining the curve. The curvature and gradient of the curve are radically related to optimization. The vertex point (a = a

k
) was set and the a-value roles were classified into the following three parts of the curve with respect to the a-value: (i) high gradient and middle curvature, (ii) middle gradient and high curvature, and (iii) low gradient and low curvature. Then, a strategy for multiple a-values was then identified using RVR optimization. Main results. Eleven head and neck patients who underwent static seven-field IMRT were used to verify the a-value characteristics and curvature effect for optimization. The lower a-value (i) (a = 1–3) optimization was effective for the whole dose-volume range; in contrast, the effect of higher a-value (iii) (a = 12–20) optimization addressed strongly the high-dose range of the dose volume. The middle a-value (ii) (around a = a

k
) showed intermediate but effective high-to-low dose reduction. These a-value characteristics were observed as superimpositions in the optimization. Thus, multiple gEUD-based optimization was significantly superior to the exponential constraints normally applied to the RVR that surrounds the PTV, normal tissue objective (NTO), resulting in up to 25.9% and 8.1% improvement in dose-volume indices D2% and V10Gy, respectively. Significance. This study revealed an appropriate a-value for gEUD optimization, leading to favorable dose-volume optimization for the RVR region using fixed multiple a-value conditions, despite the very large and patient-specific shape of the region.
Ergodicity in glass relaxation
Authors: Wan Li 
Published: February 2023

Abstract
We derive an equation for the glass relaxation. In the derivation, the Zwanzig-Mori projection method is not applied explicitly, which makes our equation different from the mode coupling theory. Due to the nonlinearity, it is difficult to solve the equation to get the full behaviors of the glass relaxation. But we can simplify the equation when time approaches infinity and obtain the static result analytically. The static result shows that the density correlation function decays to zero finally, meaning that the glass relaxation is ergodic. In this study, we also find that the force fluctuation of one individual particle averaged in the glass is sensitive to the temperature and is suggested to be a parameter to reflect the structural transition for the glass relaxation.
Shapes of non-Gaussianity in warm inflation
Authors: Mirbabayi Mehrdad , Gruzinov Andrei 
Published: February 2023

Abstract

Sphaleron heating has been recently proposed as a mechanism to realize warm
inflation when inflaton is an axion coupled to pure Yang-Mills. As a result of heating, there is a
friction coefficient γ ∝ T
3 in the equation of motion for the inflaton, and a
thermal contribution to cosmological fluctuations. Without the knowledge of the inflaton
potential, non-Gaussianity is the most promising way of searching for the signatures of this
model. Building on an earlier work by Bastero-Gil, Berera, Moss and Ramos, we compute the scalar
three-point correlation function and point out some distinct features in the squeezed and folded
limits. As a detection strategy, we show that the combination of the equilateral template and one
new template has a large overlap with the shape of non-Gaussianity over the range 0.01 ≤ γ/H ≤ 1000, and in this range 0.7 < |f
NL| < 50.
Optimal Observational Scheduling Framework for Binary and Multiple Stellar Systems*
Authors: Videla Miguel , Mendez Rene A. , Silva Jorge F. , Orchard Marcos E. 
Published: February 2023

Abstract
The optimal instant of observation of astrophysical phenomena for objects that vary on human timescales is an important problem, as it bears on the cost-effective use of usually scarce observational facilities. In this paper, we address this problem in the case of tight visual binary systems through a Bayesian framework based on the maximum entropy sampling principle. Our proposed information-driven methodology exploits the periodic structure of binary systems to provide a computationally efficient estimation of the probability distribution of the optimal observation time. We show the optimality of the proposed sampling methodology in the Bayes sense and its effectiveness through direct numerical experiments. We successfully apply our scheme to the study of two visual-spectroscopic binaries and one purely astrometric triple hierarchical system. We note that our methodology can be applied to any time-evolving phenomena, a particularly interesting application in the era of dedicated surveys, where a definition of the cadence of observations can have a crucial impact on achieving the science goals.
Application of Neural Networks to Estimation and Prediction of Seeing at the Large Solar Telescope Site
Authors: Shikhovtsev Artem Yu. , Kovadlo Pavel G. , Kiselev Alexander V. , Eselevich Maxim V. , Lukin Vladimir P. 
Published: February 2023

Abstract
Optical turbulence limits the angular resolution of ground-based astronomical telescopes. The key parameter of optical turbulence is seeing. In this study, seasonal variations of seeing estimated from differential image motion monitor measurements at the Large Solar Telescope site are discussed. The Large Solar Telescope will be located at an elevation of 2000 m above sea level (

51
°
37
′
18
″

N,

100
°
55
′
07
″
E

). The highest seeing values are observed in winter. The median of seeing is 2.″1. In summer, the median decreases to 1.″1. The best atmospheric conditions are observed in April–May, when the medians of seeing are low and the standard deviations are high. During this period, atmospheric situations with low values of seeing (∼0.″5–0.″6) are often observed. We simulated multilayer neural networks for the measured seeing by applying a group method of data handling. Modeled seeing is well described in terms of mean meteorological parameters, which include wind speed components and large-scale vorticity of air flows at different altitudes in the atmosphere. The 12-layer optimal neural network obtained has a high correlation coefficient between modeled and measured seeing values. The linear correlation coefficient is 0.77.
Inference of main ion particle transport coefficients with experimentally constrained neutral ionization during edge localized mode recovery on DIII-D
Authors: Rosenthal A.M. , Hughes J.W. , Laggner F.M. , Odstrčil T. , Bortolon A. , Wilks T.M. , Sciortino F. 
Published: February 2023

Abstract
The plasma and neutral density dynamics after an edge localized mode are investigated and utilized to infer the plasma transport coefficients for the density pedestal. The Lyman-Alpha Measurement Apparatus (LLAMA) diagnostic provides sub-millisecond profile measurements of the ionization and neutral density and shows significant poloidal asymmetries in both. Exploiting the absolute calibration of the LLAMA diagnostic allows quantitative comparison to the electron and main ion density profiles determined by charge-exchange recombination, Thomson scattering and interferometry. Separation of diffusion and convection contributions to the density pedestal transport are investigated through flux gradient methods and time-dependent forward modeling with Bayesian inference by adaptation of the Aurora transport code and IMPRAD framework to main ion particle transport. Both methods suggest time-dependent transport coefficients and are consistent with an inward particle pinch on the order of 1 m s−1 and diffusion coefficient of 0.05 m2 s−1 in the steep density gradient region of the pedestal. While it is possible to recreate the experimentally observed phenomena with no pinch in the pedestal, low diffusion in the core and high outward convection in the near scrape-off layer are required without an inward pedestal pinch.
A machine learning approach in the estimation of a radioactive source position using a coded aperture device
Authors: Karafasoulis K. , Kaissas I. , Papadimitropoulos C. , Potiriadis K. , Lambropoulos C.P. 
Published: February 2023

Abstract
Coded Aperture γ-cameras have been used for more than three decades for imaging radioactive source distributions encountered in astrophysics, in decommissioning of nuclear facilities, and in nuclear medicine. These devices enable the identification of the coordinates of γ-emitters located within their Field of View (FOV) with the use of the coded-aperture shadow projected on pixelated detectors. In this work we have developed machine learning algorithms based on Gradient Boosted Decision Trees (BDTG) and Deep Neural Networks (DNN). The algorithms have been trained using 21000 shadowgrams created with simulation. A custom fast simulation tool was used to produce the shadowgrams due to sources placed randomly at different positions within the FOV at distances from 20 cm up to 20 m from the detector plane. The performance of the algorithms has been evaluated with the aid of a different independent simulation sample of shadowgrams and verified with real data.