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20202024
most citedCrystal Transformer: Self-learning neural language model for Generative and Tinkering Design of Materials

7 citations · 14 across the 8 of their papers we have counts for

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physics.comp-ph2020

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

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,…