Gia-Wei Chern

According to our database, Gia-Wei Chern authored at least 16 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

CoRR, 2024

Echo State network for coarsening dynamics of charge density waves.

Clement Dinh, Yunhao Fan, Gia-Wei Chern

CoRR, 2024

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets.

Alexa Tyberg, Yunhao Fan, Gia-Wei Chern

CoRR, 2024

Machine learning approach for vibronically renormalized electronic band structures.

Niraj Aryal, Sheng Zhang, Weiguo Yin, Gia-Wei Chern

CoRR, 2024

Kinetics of orbital ordering in cooperative Jahn-Teller models: Machine-learning enabled large-scale simulations.

Supriyo Ghosh, Sheng Zhang, Chen Cheng, Gia-Wei Chern

CoRR, 2024

Coarsening of chiral domains in itinerant electron magnets: A machine learning force field approach.

Yunhao Fan, Sheng Zhang, Gia-Wei Chern

CoRR, 2024

2023

Machine learning force-field models for metallic spin glass.

Menglin Shi, Sheng Zhang, Gia-Wei Chern

CoRR, 2023

Machine learning for structure-property relationships: Scalability and limitations.

Zhongzheng Tian, Sheng Zhang, Gia-Wei Chern

CoRR, 2023

Machine learning for phase ordering dynamics of charge density waves.

Chen Cheng, Sheng Zhang, Gia-Wei Chern

CoRR, 2023

2022

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

CoRR, 2022

Descriptors for Machine Learning Model of Generalized Force Field in Condensed Matter Systems.

Puhan Zhang, Sheng Zhang, Gia-Wei Chern

CoRR, 2022

2021

Machine learning nonequilibrium electron forces for adiabatic spin dynamics.

Puhan Zhang, Gia-Wei Chern

CoRR, 2021

Anomalous phase separation and hidden coarsening of super-clusters in the Falicov-Kimball model.

Sheng Zhang, Puhan Zhang, Gia-Wei Chern

CoRR, 2021

Arrested phase separation in double-exchange models: machine-learning enabled large-scale simulation.

Puhan Zhang, Gia-Wei Chern

CoRR, 2021

2020

Machine learning dynamics of phase separation in correlated electron magnets.

Puhan Zhang, Preetha Saha, Gia-Wei Chern

CoRR, 2020

2019

Artificial Spin Ice Phase-Change Memory Resistors.

Francesco Caravelli, Gia-Wei Chern, Cristiano Nisoli

CoRR, 2019