246 citations · 284 across the 3 of their papers we have counts for
3 papers
physics.comp-ph2019★ 4 cited
Data-Centric Mixed-Variable Bayesian Optimization For Materials Design
Akshay Iyer, Yichi Zhang, Aditya Prasad +5
Materials design can be cast as an optimization problem with the goal of achieving desired properties, by varying material composition, microstructure morphology, and processing co…
cond-mat.mtrl-sci2018★ 34 cited
A Transfer Learning Approach for Microstructure Reconstruction and Structure-property Predictions
Xiaolin Li, Yichi Zhang, He Zhao +3
Stochastic microstructure reconstruction has become an indispensable part of computational materials science, but ongoing developments are specific to particular material systems.…
cond-mat.mtrl-sci2018★ 246 cited
Microstructural Materials Design via Deep Adversarial Learning Methodology
Zijiang Yang, Xiaolin Li, L. Catherine Brinson +3
Identifying the key microstructure representations is crucial for Computational Materials Design (CMD). However, existing microstructure characterization and reconstruction (MCR) t…