2 papers
physics.chem-ph2024
A Self-Improvable Polymer Discovery Framework Based on Conditional Generative Model
Arash Khajeh, Xiangyun Lei, Weike Ye +3
In this work, we introduce a polymer discovery platform to efficiently design polymers with tailored properties, exemplified by the discovery of high-performance polymer electrolyt…
cond-mat.mtrl-sci2024
Probing out-of-distribution generalization in machine learning for materials
Kangming Li, Andre Niyongabo Rubungo, Xiangyun Lei +5
Scientific machine learning (ML) endeavors to develop generalizable models with broad applicability. However, the assessment of generalizability is often based on heuristics. Here,…