(AGENPARL) - Roma, 20 Marzo 2026 -
DOI: 10.1039/D5CP04814A, Paper
Open Access
  This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.Machine learning (ML) surrogate models are increasingly employed to accelerate materials discovery, yet their transferability across heterogeneous databases remains unclear.In this study, we benchmark accuracy and transferability of composition-based and…
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