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20192022
most citedGenerative adversarial networks (GAN) based efficient sampling of chemical space for inverse design of inorganic materials

294 citations · 889 across the 15 of their papers we have counts for

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physics.comp-ph2020★ 279 cited

Global Attention based Graph Convolutional Neural Networks for Improved Materials Property Prediction

Steph-Yves Louis, Yong Zhao, Alireza Nasiri +4

Machine learning (ML) methods have gained increasing popularity in exploring and developing new materials. More specifically, graph neural network (GNN) has been applied in predict…

physics.comp-ph2020★ 31 cited

Machine Learning based prediction of noncentrosymmetric crystal materials

Yuqi Song, Joseph Lindsay, Yong Zhao +5

Noncentrosymmetric materials play a critical role in many important applications such as laser technology, communication systems,quantum computing, cybersecurity, and etc. However,…