5 papers
A Physical Response-and-Memory Model for Muon Optimization
Yinze Hu, Hongjun Xiang, Xingao Gong +1
Training large language models is costly. How low a loss the same compute can ultimately reach depends on how each step's gradient is converted into a weight update; the rule that…
Revealing Higher-Order Topological Bulk-boundary Correspondence in Bismuth Crystal with Spin-helical Hinge State Loop and Proximity Superconductivity
D. M. Zhao, Y. Zhong, T. Yuan +7
Topological materials are typically characterized by gapless boundary states originated from nontrivial bulk band topology, known as topological bulk-boundary correspondence. Recen…
Recent Advances in Unconventional Ferroelectrics and Multiferroics
Hongyu Yu, Junyi Ji, Wei Luo +2
Emerging ferroic materials may pave a new way to next-generation nanoelectronic and spintronic devices due to their interesting physical properties. Here, we systematically review…
A Universal Spin-Orbit-Coupled Hamiltonian Model for Accelerated Quantum Material Discovery
Yang Zhong, Rui Wang, Xingao Gong +1
The accurate modeling of spin-orbit coupling (SOC) effects in diverse complex systems remains a significant challenge due to the high computational demands of density functional th…
Linear Scaling Calculation of Atomic Forces and Energies with Machine Learning Local Density Matrix
Zaizhou Xin, Yang Zhong, Xingao Gong +1
Accurately calculating energies and atomic forces with linear-scaling methods is a crucial approach to accelerating and improving molecular dynamics simulations. In this paper, we…