Inorganic synthesis recommendation by machine learning materials similarity from scientific literature.
CoRR, 2023
Unified representation of molecules and crystals for machine learning.
Mach. Learn. Sci. Technol., December, 2022
Quantifying the advantage of domain-specific pre-training on named entity recognition tasks in materials science.
Patterns, 2022
ULSA: Unified Language of Synthesis Actions for Representation of Synthesis Protocols.
CoRR, 2022
COVIDScholar: An automated COVID-19 research aggregation and analysis platform.
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CoRR, 2020