Gia-Wei Chern - RankMe

24 papers Journal 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Equivariant Neural Networks for Force-Field Models of Lattice Systems. CoRR Yunhao Fan, Gia-Wei Chern
2026	J	`jnl`	Graph neural network force fields for adiabatic dynamics of lattice Hamiltonians. CoRR Yunhao Fan, Gia-Wei Chern
2026	J	`jnl`	Machine learning nonequilibrium phase transitions in charge-density wave insulators. CoRR Yunhao Fan, Sheng Zhang, Gia-Wei Chern
2026	J	`jnl`	Machine-learning force-field models for dynamical simulations of metallic magnets. CoRR Gia-Wei Chern, Yunhao Fan, Sheng Zhang, Puhan Zhang
2026	J	`jnl`	Transformer Learning of Chaotic Collective Dynamics in Many-Body Systems. CoRR Ho Jang, Gia-Wei Chern
2025	J	`jnl`	Geometric Analysis of Magnetic Labyrinthine Stripe Evolution via U-Net Segmentation. CoRR Vinícius Yu Okubo, Kotaro Shimizu, B. S. Shivaran, Gia-Wei Chern, Hae Yong Kim
2025	J	`jnl`	Learning Degenerate Manifolds of Frustrated Magnets with Boltzmann Machines. CoRR Jackson C. Glass, Gia-Wei Chern
2025	J	`jnl`	Machine Learning Force-Field Approach for Itinerant Electron Magnets. CoRR Sheng Zhang, Yunhao Fan, Kotaro Shimizu, Gia-Wei Chern
2024	J	`jnl`	Coarsening of chiral domains in itinerant electron magnets: A machine learning force field approach. CoRR Yunhao Fan, Sheng Zhang, Gia-Wei Chern
2024	J	`jnl`	Echo State network for coarsening dynamics of charge density waves. CoRR Clement Dinh, Yunhao Fan, Gia-Wei Chern
2024	J	`jnl`	Enhanced coarsening of charge density waves induced by electron correlation: Machine-learning enabled large-scale dynamical simulations. CoRR Yang Yang, Chen Cheng, Yunhao Fan, Gia-Wei Chern
2024	J	`jnl`	Kinetics of orbital ordering in cooperative Jahn-Teller models: Machine-learning enabled large-scale simulations. CoRR Supriyo Ghosh, Sheng Zhang, Chen Cheng, Gia-Wei Chern
2024	J	`jnl`	Machine learning approach for vibronically renormalized electronic band structures. CoRR Niraj Aryal, Sheng Zhang, Weiguo Yin, Gia-Wei Chern
2024	J	`jnl`	Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets. CoRR Alexa Tyberg, Yunhao Fan, Gia-Wei Chern
2023	J	`jnl`	Machine learning for phase ordering dynamics of charge density waves. CoRR Chen Cheng, Sheng Zhang, Gia-Wei Chern
2023	J	`jnl`	Machine learning for structure-property relationships: Scalability and limitations. CoRR Zhongzheng Tian, Sheng Zhang, Gia-Wei Chern
2023	J	`jnl`	Machine learning force-field models for metallic spin glass. CoRR Menglin Shi, Sheng Zhang, Gia-Wei Chern
2022	J	`jnl`	Descriptors for Machine Learning Model of Generalized Force Field in Condensed Matter Systems. CoRR Puhan Zhang, Sheng Zhang, Gia-Wei Chern
2022	J	`jnl`	Machine learning predictions for local electronic properties of disordered correlated electron systems. CoRR Yi-Hsuan Liu, Sheng Zhang, Puhan Zhang, Ting-Kuo Lee, Gia-Wei Chern
2021	J	`jnl`	Anomalous phase separation and hidden coarsening of super-clusters in the Falicov-Kimball model. CoRR Sheng Zhang, Puhan Zhang, Gia-Wei Chern
2021	J	`jnl`	Arrested phase separation in double-exchange models: machine-learning enabled large-scale simulation. CoRR Puhan Zhang, Gia-Wei Chern
2021	J	`jnl`	Machine learning nonequilibrium electron forces for adiabatic spin dynamics. CoRR Puhan Zhang, Gia-Wei Chern
2020	J	`jnl`	Machine learning dynamics of phase separation in correlated electron magnets. CoRR Puhan Zhang, Preetha Saha, Gia-Wei Chern
2019	J	`jnl`	Artificial Spin Ice Phase-Change Memory Resistors. CoRR Francesco Caravelli, Gia-Wei Chern, Cristiano Nisoli