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Christopher J. Bartel — most-cited papers & profile · AI for Science
← authors
·
overview
Christopher J. Bartel
4
papers ·
77
citations ·
29
h-index
Lawrence Berkeley National Laboratory · University of Minnesota System
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Most-cited papers
Precursor recommendation for inorganic synthesis by machine learning materials similarity from scientific literature
2023 · 56 citations
CHGNet: Pretrained universal neural network potential for charge-informed atomistic modeling
2023 · 17 citations
Establishing baselines for generative discovery of inorganic crystals
2025 · 4 citations
Accelerating the prediction of inorganic surfaces with machine learning interatomic potentials
2023
Top co-authors
Gerbrand Ceder
· 2
Bowen Deng
· 1
Haoyan Huo
· 1
Janosh Riebesell
· 1
Kevin Cruse
· 1
Kevin Han
· 1
Kyle Noordhoek
· 1
KyuJung Jun
· 1
Nathan J. Szymanski
· 1
Peichen Zhong
· 1
Tanjin He
· 1
Zheren Wang
· 1
Topics
Materials
Chemistry
Physics ML
Drug Discovery