Accuracy and limitations of machine-learned interatomic potentials for magnetic systems: A case study on Fe-Cr-C [0.03%]
机器学习原子间势在磁性体系中的准确性和局限性——以Fe-Cr-C合金为例研究
E O Khazieva,N M Chtchelkatchev,N N Katkov et al.
E O Khazieva et al.
Machine-learned interatomic potentials (MLIPs) are rapidly becoming the standard for atomistic simulations, but their application to magnetic materials remains challenging because spin fluctuations must be treated either explicitly or impli...
Linear-inverse-modeling approach to estimating Liang-Kleeman information flow in a cyclostationary process under memoryless and persistent noise [0.03%]
记忆无噪和持续噪声作用下周期平稳过程的Liang-Kleeman信息流的线性逆模型估计方法研究
Justin Lien,Hiroyasu Ando,Yong-Yub Kim et al.
Justin Lien et al.
The Liang-Kleeman (LK) information flow provides a powerful framework for quantifying causality among variables, while linear inverse modeling (LIM) offers an effective empirical approach to studying the dynamical evolution of system states...
Amplification of laser imprint in the presence of strong, externally imposed, target-normal magnetic fields [0.03%]
强目标法线方向外加磁场存在时激光模印的放大
Luke Ceurvorst,Christopher Walsh,Gabriel Pérez-Callejo et al.
Luke Ceurvorst et al.
An experiment was performed on the OMEGA EP Laser System to investigate the effects of magnetic fields on laser imprint. A 30 µm thick CH target was driven by a single beam delivering 3.0 kJ of UV energy in a 5 ns square pulse without smoo...
Ratchet effects in cyclic pattern formation systems with competing interactions [0.03%]
具有竞争相互作用的循环模式形成系统中的棘轮效应
C Reichhardt,C J O Reichhardt
C Reichhardt
Ratchet effects can appear for particles interacting with an asymmetric potential under ac driving or for a thermal system in which a substrate is periodically flashed. Here, we show that a different type of collective ratchet effect can ar...
Fabian H Kreten,Ludger Santen,Reza Shaebani
Fabian H Kreten
Tracking the movement of tracer particles has long been a strategy for uncovering complex structures. Here, we study discrete-time random walks on finite Cayley trees to infer key parameters such as tree depth and geometric bias toward the ...
Tobias H B Holm,Kim Sneppen
Tobias H B Holm
Fisher's classical debt-deflation model outlined a sequence of events governing the positive feedback in economic downturns. This theory has been formative for modern economic policy, including the 2008 crisis. However, few quantitative mod...
Sergei B Rochal,Aleksey S Roshal,Olga V Konevtsova et al.
Sergei B Rochal et al.
Proteinaceous shells useful for various biomedical applications exhibit a wide range of anomalous structures that are fundamentally different from icosahedral viral capsids described by the Caspar-Klug paradigmatic model. Exploring the prot...
Yoshinori Hara,Yoshiyuki Kabashima
Yoshinori Hara
This study investigates the quantum effects in transverse-field Ising spin glass models with rotationally invariant random interactions. The primary aim is to evaluate the validity of a quasistatic approach that captures the imaginary-time ...
Parameter estimation in interacting particle systems on dynamic random networks [0.03%]
动态随机网络中相互作用粒子系统的参数估计
Simone Baldassarri,Jiesen Wang
Simone Baldassarri
In this paper, we consider a class of interacting particle systems on dynamic random networks, in which the joint dynamics of vertices and edges acts as one-way feedback, i.e., edges appear and disappear over time depending on the state of ...
Ching Chang,Zelin Liu,Jason Chao et al.
Ching Chang et al.
Granular materials exhibit complex behavior because of their nonequilibrium nature and dissipative mechanism. This study investigates the role of granular potential in bidisperse granular packings and its influence on thermodynamic properti...