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Machine learning nonequilibrium electron forces for adiabatic spin
  dynamics

Machine learning nonequilibrium electron forces for adiabatic spin dynamics

npj Computational Materials (npj Comput Mater), 2021
22 December 2021
Puhan Zhang
Gia-Wei Chern
ArXiv (abs)PDFHTML

Papers citing "Machine learning nonequilibrium electron forces for adiabatic spin dynamics"

10 / 10 papers shown
Title
Learning Degenerate Manifolds of Frustrated Magnets with Boltzmann Machines
Learning Degenerate Manifolds of Frustrated Magnets with Boltzmann Machines
Jackson C. Glass
Gia-Wei Chern
AI4CE
200
0
0
25 Nov 2025
Enhanced coarsening of charge density waves induced by electron correlation: Machine-learning enabled large-scale dynamical simulations
Enhanced coarsening of charge density waves induced by electron correlation: Machine-learning enabled large-scale dynamical simulations
Yang Yang
Chen Cheng
Yunhao Fan
Gia-Wei Chern
126
1
0
31 Dec 2024
Echo State network for coarsening dynamics of charge density waves
Echo State network for coarsening dynamics of charge density waves
Clement Dinh
Yunhao Fan
Gia-Wei Chern
179
0
0
16 Dec 2024
Machine learning force-field model for kinetic Monte Carlo simulations
  of itinerant Ising magnets
Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets
Alexa Tyberg
Yunhao Fan
Gia-Wei Chern
206
0
0
29 Nov 2024
Machine learning approach for vibronically renormalized electronic band
  structures
Machine learning approach for vibronically renormalized electronic band structures
Niraj Aryal
Sheng Zhang
Weiguo Yin
Gia-Wei Chern
235
0
0
03 Sep 2024
Kinetics of orbital ordering in cooperative Jahn-Teller models:
  Machine-learning enabled large-scale simulations
Kinetics of orbital ordering in cooperative Jahn-Teller models: Machine-learning enabled large-scale simulationsPHYSICAL REVIEW MATERIALS (PRM), 2024
Supriyo Ghosh
Sheng Zhang
Chen Cheng
Gia-Wei Chern
98
3
0
23 May 2024
Coarsening of chiral domains in itinerant electron magnets: A machine
  learning force field approach
Coarsening of chiral domains in itinerant electron magnets: A machine learning force field approachPhysical review B (PRB), 2024
Yunhao Fan
Sheng Zhang
Gia-Wei Chern
88
3
0
18 Mar 2024
Machine learning force-field models for metallic spin glass
Machine learning force-field models for metallic spin glass
Menglin Shi
Sheng Zhang
Gia-Wei Chern
AI4CE
93
0
0
28 Nov 2023
Equivariant Neural Networks for Spin Dynamics Simulations of Itinerant
  Magnets
Equivariant Neural Networks for Spin Dynamics Simulations of Itinerant Magnets
Y. Miyazaki
94
6
0
05 May 2023
Machine learning for phase ordering dynamics of charge density waves
Machine learning for phase ordering dynamics of charge density wavesPhysical review B (PRB), 2023
Chen Cheng
Sheng Zhang
Gia-Wei Chern
87
12
0
06 Mar 2023
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