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Publication search results
found 12 matches
- 2024
- Yunhao Fan, Sheng Zhang, Gia-Wei Chern:
Coarsening of chiral domains in itinerant electron magnets: A machine learning force field approach. CoRR abs/2403.11705 (2024) - Supriyo Ghosh, Sheng Zhang, Chen Cheng, Gia-Wei Chern:
Kinetics of orbital ordering in cooperative Jahn-Teller models: Machine-learning enabled large-scale simulations. CoRR abs/2405.14776 (2024) - 2023
- Chen Cheng, Sheng Zhang, Gia-Wei Chern:
Machine learning for phase ordering dynamics of charge density waves. CoRR abs/2303.03493 (2023) - Zhongzheng Tian, Sheng Zhang, Gia-Wei Chern:
Machine learning for structure-property relationships: Scalability and limitations. CoRR abs/2304.05502 (2023) - Menglin Shi, Sheng Zhang, Gia-Wei Chern:
Machine learning force-field models for metallic spin glass. CoRR abs/2311.16964 (2023) - 2022
- Puhan Zhang, Sheng Zhang, Gia-Wei Chern:
Descriptors for Machine Learning Model of Generalized Force Field in Condensed Matter Systems. CoRR abs/2201.00798 (2022) - Yi-Hsuan Liu, Sheng Zhang, Puhan Zhang, Ting-Kuo Lee, Gia-Wei Chern:
Machine learning predictions for local electronic properties of disordered correlated electron systems. CoRR abs/2204.05967 (2022) - 2021
- Puhan Zhang, Gia-Wei Chern:
Arrested phase separation in double-exchange models: machine-learning enabled large-scale simulation. CoRR abs/2105.08221 (2021) - Sheng Zhang, Puhan Zhang, Gia-Wei Chern:
Anomalous phase separation and hidden coarsening of super-clusters in the Falicov-Kimball model. CoRR abs/2105.13304 (2021) - Puhan Zhang, Gia-Wei Chern:
Machine learning nonequilibrium electron forces for adiabatic spin dynamics. CoRR abs/2112.12124 (2021) - 2020
- Puhan Zhang, Preetha Saha, Gia-Wei Chern:
Machine learning dynamics of phase separation in correlated electron magnets. CoRR abs/2006.04205 (2020) - 2019
- Francesco Caravelli, Gia-Wei Chern, Cristiano Nisoli:
Artificial Spin Ice Phase-Change Memory Resistors. CoRR abs/1908.08073 (2019)
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