268 citations · 656 across the 11 of their papers we have counts for
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cond-mat.mtrl-sci2017★ 268 cited
Deep Neural Networks for Accurate Predictions of Garnet Stability
Weike Ye, Chi Chen, Zhenbin Wang +2
Predicting the stability of crystals is one of the central problems in materials science. Today, density functional theory (DFT) calculations are the computational tool of choice t…
cond-mat.mtrl-sci2017★ 12 cited
Predicting the Volumes of Crystals
Iek-Heng Chu, Sayan Roychowdhury, Daehui Han +2
New crystal structures are frequently derived by performing ionic substitutions on known crystal structures. These derived structures are then used in further experimental analysis…
physics.comp-ph2017★ 165 cited
Accurate Force Field for Molybdenum by Machine Learning Large Materials Data
Chi Chen, Zhi Deng, Richard Tran +3
In this work, we present a highly accurate spectral neighbor analysis potential (SNAP) model for molybdenum (Mo) developed through the rigorous application of machine learning tech…