2 papers
physics.data-an2025
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-sci2025
Accelerating the discovery of high-performance nonlinear optical materials using active learning and high-throughput screening
Victor Trinquet, Matthew L. Evans, Gian-Marco Rignanese
Due to their abundant use in all-solid-state lasers, nonlinear optical (NLO) crystals are needed for many applications across diverse fields such as medicine and communication. How…