Open access
Jul 2026
Uncertainty-aware prediction of thermal expansion in complex oxides via LLM-curated literature data
An integrated workflow that combines document-grounded large language model (LLM) literature mining, human verification, and probabilistic modeling to enable uncertainty-aware prediction of the coefficient of thermal expansion (CTE) in complex oxides is introduced.
J. Marshall, M. Alexander, V. Garcia et al.
· APL Machine Learning · 0 citations