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

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

collaborators

6 papers

quant-ph2026

Asymptotic Pseudospectra in Dissipative Floquet Quantum Systems: Geometric Structures and Observable Dynamics

Yuncheng Xie, Haozhe Shi, Zhuocheng Ma +2

In periodically driven open quantum systems, nonnormality renders the Floquet spectrum insufficient as the system approaches the thermodynamic limit, so that pseudospectra are need…

cond-mat.mes-hall2026

Giant bulk photovoltaic effect driven by interfacial symmetry breaking in MoS2/Ta2NiSe5 heterostructures

Jianwen Ma, Pengliang Leng, Lei Peng +16

Van der Waals (vdW) heterostructures offer a versatile platform for engineering unconventional bulk photovoltaic (BPV) effect through interfacial symmetry breaking. However, the co…

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…

cond-mat.supr-con2026

First-Principles Quantum-Spectral framework for Elementary Vortex Pinning in superconductors

Haozhe Shi, Yuncheng Xie, Tong Zhang +2

The critical current of a type-II superconductor is controlled by vortex pinning, whose microscopic input is the elementary pinning force. Scanning tunneling spectroscopy has shown…

cond-mat.mtrl-sci2026

Symmetry Adapted Analysis of Screw Dislocation: Electronic Structure and Carrier Recombination Mechanisms in GaN

Yuncheng Xie, Haozhe Shi, Menglin Huang +3

As fundamental one-dimensional defects, screw dislocations profoundly reshape the energy landscape and carrier dynamics of crystalline materials. By restoring the exact algebra of…

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…