2 papers
cs.LG2025
OASIS: A Deep Learning Framework for Universal Spectroscopic Analysis Driven by Novel Loss Functions
Chris Young, Juejing Liu, Marie L. Mortensen +6
The proliferation of spectroscopic data across various scientific and engineering fields necessitates automated processing. We introduce OASIS (Omni-purpose Analysis of Spectra via…
cond-mat.mtrl-sci2025
Thermodynamic Prediction Enabled by Automatic Dataset Building and Machine Learning
Juejing Liu, Haydn Anderson, Noah I. Waxman +4
New discoveries in chemistry and materials science, with increasingly expanding volume of requisite knowledge and experimental workload, provide unique opportunities for machine le…