ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2006.04205
  4. Cited By
Machine learning dynamics of phase separation in correlated electron
  magnets

Machine learning dynamics of phase separation in correlated electron magnets

7 June 2020
Puhan Zhang
P. Saha
Gia-Wei Chern
ArXiv (abs)PDFHTML

Papers citing "Machine learning dynamics of phase separation in correlated electron magnets"

13 / 13 papers shown
Title
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
45
0
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
92
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
99
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
155
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 simulations
Supriyo Ghosh
Sheng Zhang
Chen Cheng
Gia-Wei Chern
44
1
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 approach
Yunhao Fan
Sheng Zhang
Gia-Wei Chern
54
1
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
23
0
0
28 Nov 2023
Machine learning for structure-property relationships: Scalability and
  limitations
Machine learning for structure-property relationships: Scalability and limitations
Zhongzheng Tian
Sheng Zhang
Gia-Wei Chern
36
2
0
11 Apr 2023
Machine learning for phase ordering dynamics of charge density waves
Machine learning for phase ordering dynamics of charge density waves
Chen Cheng
Sheng Zhang
Gia-Wei Chern
39
10
0
06 Mar 2023
Machine learning predictions for local electronic properties of
  disordered correlated electron systems
Machine learning predictions for local electronic properties of disordered correlated electron systems
Yi-Hsuan Liu
Sheng Zhang
Puhan Zhang
Ting-Kuo Lee
Gia-Wei Chern
41
8
0
12 Apr 2022
Descriptors for Machine Learning Model of Generalized Force Field in
  Condensed Matter Systems
Descriptors for Machine Learning Model of Generalized Force Field in Condensed Matter Systems
Puhan Zhang
Sheng Zhang
Gia-Wei Chern
AI4CE
43
11
0
03 Jan 2022
Machine learning nonequilibrium electron forces for adiabatic spin
  dynamics
Machine learning nonequilibrium electron forces for adiabatic spin dynamics
Puhan Zhang
Gia-Wei Chern
44
16
0
22 Dec 2021
Anomalous phase separation dynamics in a correlated electron system:
  machine-learning enabled large-scale kinetic Monte Carlo simulations
Anomalous phase separation dynamics in a correlated electron system: machine-learning enabled large-scale kinetic Monte Carlo simulations
Sheng Zhang
Puhan Zhang
Gia-Wei Chern
39
15
0
27 May 2021
1