activity
20232026
most citedAdvancing Nonadiabatic Molecular Dynamics Simulations for Solids: Achieving Supreme Accuracy and Efficiency with Machine Learning

3 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

physics.comp-ph2026

Nonadiabatic Molecular Dynamics on Real-time Excited-State Surfaces via Machine Learning Hamiltonians

Changwei Zhang, Yang Zhong, Zhi-Guo Tao +6

Simulating the coupled, nonequilibrium dynamics of electrons and nuclei is a central challenge in chemistry, physics, and materials science, governing phenomena from photocatalysis…

physics.comp-ph2024★ 3 cited

Advancing Nonadiabatic Molecular Dynamics Simulations for Solids: Achieving Supreme Accuracy and Efficiency with Machine Learning

Changwei Zhang, Yang Zhong, Zhi-Guo Tao +7

Non-adiabatic molecular dynamics (NAMD) simulations have become an indispensable tool for investigating excited-state dynamics in solids. In this work, we propose a general framewo…

cond-mat.mtrl-sci2023

Towards Ultimate Memory with Single-Molecule Multiferroics

Yali Yang, Liangliang Hong, Laurent Bellaiche +1

The demand for high-density storage is urgent in the current era of data explosion. Recently, several single-molecule (-atom) magnets/ferroelectrics have been reported to be promis…

cond-mat.mtrl-sci2023★ 1 cited

Evaluating Gilbert Damping in Magnetic Insulators from First Principles

Liangliang Hong, Changsong Xu, Hongjun Xiang

Magnetic damping has a significant impact on the performance of various magnetic and spintronic devices, making it a long-standing focus of research. The strength of magnetic dampi…

cond-mat.mtrl-sci2023★ 3 cited

Triple-Well Charge Density Wave Transition Driven by Cooperation between Peierls-like Effect and Antiferromagnetic Order in FeGe

Binhua Zhang, Junyi Ji, Changsong Xu +1

Kagome materials provide a promising platform to explore intriguing correlated phenomena including magnetism, charge density wave (CDW), and nontrivial band topology. Recently, a C…