2 papers
physics.chem-ph2026
Dataset Distillation for Machine Learning Force Field in Phase Transition Regime
Ruiyang Chen, Qingyuan Zhang, Ji Chen
Machine learning force field (MLFF) has emerged as a powerful data-driven tool for atomistic simulations, enabling large-scale and complex atomic systems to be simulated with accur…
physics.optics2024
Optical modeling, solver, and design of wafer-scale single-enantiomer carbon nanotube film and reconfigurable chiral photonic device
Jichao Fan, Benjamin Hillam, Cheng Guo +6
The interaction of circularly polarized light with chiral matter and functional devices enables novel phenomena and applications. Recently, wafer-scale solid-state single-enantiome…