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UC Berkeley, Lawrence Berkeley National Laboratory
- Berkeley
- https://chiang-yuan.github.io
- https://orcid.org/0000-0002-4017-7084
- https://scholar.google.com/citations?user=kZ2LfBoAAAAJ
- @cyrusyc_tw
Highlights
- Pro
Pinned Loading
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atomind-ai/mlip-arena
atomind-ai/mlip-arena PublicFair and transparent benchmark of machine learning interatomic potentials (MLIPs), beyond basic error metrics
Jupyter Notebook 24
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materialsproject/pymatgen
materialsproject/pymatgen PublicPython Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials …
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materialsproject/atomate2
materialsproject/atomate2 Publicatomate2 is a library of computational materials science workflows
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ACEsuit/mace
ACEsuit/mace PublicMACE - Fast and accurate machine learning interatomic potentials with higher order equivariant message passing.
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janosh/matbench-discovery
janosh/matbench-discovery PublicAn evaluation framework for machine learning models simulating high-throughput materials discovery.
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