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cond-mat.mtrl-sci2026
Dynamic Moiré Potentials and Robust Wigner Crystallization in Large-Scale Twisted Transition Metal Dichalcogenides
Yifan Ke, Chuanjing Zeng, Xinming Qin +3
Understanding the dynamical evolution of large-scale moiré systems is crucial for connecting theoretical predictions with experimental observations. Here we develop a machine-lear…
cond-mat.mtrl-sci2026
UniMatSim: A High-Throughput Materials Simulation Automation Framework Based on Universal Machine Learning Potentials
Yanjin Xiang, Yihan Nie, Yunzhi Gao +2
Universal machine learning interatomic potentials (UMLIPs) offer accuracy close to first-principles calculations at a fraction of the cost, showing significant potential for large-…