2 papers
cond-mat.mtrl-sci2026
Machine Learning Framework for Characterizing Processing-Structure Relationship in Block Copolymer Thin Films
Bradley Lamb, Saroj Upreti, Yunfei Wang +5
The morphology of block copolymers (BCPs) critically influences material properties and applications. This work introduces a machine learning (ML)-enabled, high-throughput framewor…
cond-mat.mtrl-sci2025
Adaptive AI decision interface for autonomous electronic material discovery
Yahao Dai, Henry Chan, Aikaterini Vriza +14
AI-powered autonomous experimentation (AI/AE) can accelerate materials discovery but its effectiveness for electronic materials is hindered by data scarcity from lengthy and comple…