28 citations · 52 across the 17 of their papers we have counts for
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physics.data-an2024★ 3 cited
Datatractor: Metadata, automation, and registries for extractor interoperability in the chemical and materials sciences
Matthew L. Evans, Gian-Marco Rignanese, David Elbert +1
Two key issues hindering the transition towards FAIR data science are the poor discoverability and inconsistent instructions for the use of data extractor tools, i.e., how we go fr…
cond-mat.mtrl-sci2024★ 8 cited
Optical materials discovery and design with federated databases and machine learning
Victor Trinquet, Matthew L. Evans, Cameron J. Hargreaves +2
Combinatorial and guided screening of materials space with density-functional theory and related approaches has provided a wealth of hypothetical inorganic materials, which are inc…