165 citations · 193 across the 8 of their papers we have counts for
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cond-mat.mtrl-sci2021★ 17 cited
Accelerating Materials Discovery with Bayesian Optimization and Graph Deep Learning
Yunxing Zuo, Mingde Qin, Chi Chen +4
Machine learning (ML) models utilizing structure-based features provide an efficient means for accurate property predictions across diverse chemical spaces. However, obtaining equi…
cond-mat.mtrl-sci2021
AtomSets -- A Hierarchical Transfer Learning Framework for Small and Large Materials Datasets
Chi Chen, Shyue Ping Ong
Predicting materials properties from composition or structure is of great interest to the materials science community. Deep learning has recently garnered considerable interest in…
cond-mat.mtrl-sci2021
Bridging the Gap Between Simulated and Experimental Ionic Conductivities in Lithium Superionic Conductors
Ji Qi, Swastika Banerjee, Yunxing Zuo +5
Lithium superionic conductors (LSCs) are of major importance as solid electrolytes for next-generation all-solid-state lithium-ion batteries. While molecular dynamics…