Peichen Zhong

According to our database, Peichen Zhong authored at least 4 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

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

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., September, 2023

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

2022

smol: A Python package for cluster expansions and beyond.

Luis Barroso-Luque, Julia H. Yang, Fengyu Xie, Tina Chen, Ronald L. Kam, Zinab Jadidi, Peichen Zhong, Gerbrand Ceder

J. Open Source Softw., 2022