CHGNet: Pretrained universal neural network potential for charge-informed atomistic modeling. - Bowen Deng; Peichen Zhong; KyuJung Jun; Kevin Han; Christopher J. Bartel; Gerbrand Ceder (CoRR, 2023)

CHGNet as a pretrained universal neural network potential for charge-informed atomistic modelling. - Bowen Deng; Peichen Zhong; KyuJung Jun; Janosh Riebesell; Kevin Han; Christopher J. Bartel; Gerbrand Ceder (Nat. Mac. Intell., 2023)

Overcoming systematic softening in universal machine learning interatomic potentials by fine-tuning. - Bowen Deng; Yunyeong Choi; Peichen Zhong; Janosh Riebesell; Shashwat Anand; Zhuohan Li; KyuJung Jun; Kristin A. Persson; Gerbrand Ceder (CoRR, 2024)

Flow Matching for Accelerated Simulation of Atomic Transport in Materials. - Juno Nam; Sulin Liu; Gavin Winter; KyuJung Jun; Soojung Yang; Rafael Gómez-Bombarelli (CoRR, 2024)