246 citations · 283 across the 3 of their papers we have counts for
3 papers
cond-mat.mtrl-sci2018★ 3 cited
Rethinking Interphase Representations for Modeling Viscoelastic Properties for Polymer Nanocomposites
Xiaolin Li, Min Zhang, Yixing Wang +4
Numerical modeling of viscoelastic properties is critical to developing the structure-property relationship of polymer nanocomposites. While it is recognized that the altered polym…
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…