1 citations · 1 across the 3 of their papers we have counts for
3 papers
cond-mat.mtrl-sci2025★ 1 cited
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…
eess.IV2024
Machine Learning for Analyzing Atomic Force Microscopy (AFM) Images Generated from Polymer Blends
Aanish Paruchuri, Yunfei Wang, Xiaodan Gu +1
In this paper we present a new machine learning workflow with unsupervised learning techniques to identify domains within atomic force microscopy images obtained from polymer films…