Christopher J. Bartel

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 6

Top Topics

Surface Patches

Scientific Literature

Machine Learning

Top Venues

Nat. Mac. Intell.

Publications

Bowen Deng, Peichen Zhong, KyuJung Jun, Kevin Han, Christopher J. Bartel, Gerbrand Ceder
CHGNet: Pretrained universal neural network potential for charge-informed atomistic modeling. CoRR (2023)
Kyle Noordhoek, Christopher J. Bartel
Accelerating the prediction of inorganic surfaces with machine learning interatomic potentials. CoRR (2023)
Tanjin He, Haoyan Huo, Christopher J. Bartel, Zheren Wang, Kevin Cruse, Gerbrand Ceder
Inorganic synthesis recommendation by machine learning materials similarity from scientific literature. CoRR (2023)
Bowen Deng, Peichen Zhong, KyuJung Jun, Janosh Riebesell, Kevin Han, Christopher J. Bartel, Gerbrand Ceder
CHGNet as a pretrained universal neural network potential for charge-informed atomistic modelling. Nat. Mac. Intell. 5 (9) (2023)
Nathan J. Szymanski, Christopher J. Bartel, Yan Zeng, Qingsong Tu, Gerbrand Ceder
A probabilistic deep learning approach to automate the interpretation of multi-phase diffraction spectra. CoRR (2021)
Christopher J. Bartel
Data-centric approach to improve machine learning models for inorganic materials. Patterns 2 (11) (2021)