Experimental evidence of record-breaking solid electrolyte discovered by machine learning
Published on
ACS Publications
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Experimental evidence of record-breaking solid electrolyte discovered by machine learning
Published on
ACS Publications
Review of machine learning-based modeling for battery material design
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Wiley Online Library
Two new low electrochemical expansion cathode materials identified from 38,000+ candidates
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Springer Link
Perspective on battery-powered urban aircraft
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Nature
Technoeconomic analysis of iron-air batteries
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ECSarXiv Preprints
Facile screening of billions of candidate materials with ML models
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AIP Publishing
ML-accelerated colloidal synthesis and discovery
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AIP Publishing
New solid electrolytes that outperform state-of-the-art
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ACS Publications
5x faster exploration of battery material design space
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ScienceDirect
Predict alloy melting temperature to within 100K
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arXiv
Discovery of new dendrite-suppressing solid electrolytes
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ACS Publications
Liquid crystalline electrolytes enable dendrite-suppression
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Proceedings of the National Academy of Sciences (PNAS)
Discovery of new solid ion conductor materials with 2X higher precision than human experts
Published on
ACS Publications
Thousand-fold acceleration in new cathode discovery with ML potentials
Published on
AIP Publishing