Online Damage Monitoring of SiCf-SiCm Composite Materials Using Acoustic Emission and Deep Learning. - Alireza Nasiri; Jingjing Bao; Donald Mccleeary; Steph-Yves M. Louis; Xinyu Huang; Jianjun Hu (IEEE Access, 2019)

Machine Learning based prediction of noncentrosymmetric crystal materials. - Yuqi Song; Joseph Lindsay; Yong Zhao 014; Alireza Nasiri; Steph-Yves M. Louis; Jie Ling; Ming Hu; Jianjun Hu (CoRR, 2020)

Global Attention based Graph Convolutional Neural Networks for Improved Materials Property Prediction. - Steph-Yves M. Louis; Yong Zhao 014; Alireza Nasiri; Xiran Wong; Yuqi Song; Fei Liu; Jianjun Hu (CoRR, 2020)

Predicting Elastic Properties of Materials from Electronic Charge Density Using 3D Deep Convolutional Neural Networks. - Yong Zhao 014; Kunpeng Yuan; Yinqiao Liu; Steph-Yves M. Louis; Ming Hu; Jianjun Hu (CoRR, 2020)

Active learning based generative design for the discovery of wide bandgap materials. - Rui Xin; Edirisuriya M. Dilanga Siriwardane; Yuqi Song; Yong Zhao 014; Steph-Yves M. Louis; Alireza Nasiri; Jianjun Hu (CoRR, 2021)

MaterialsAtlas.org: A Materials Informatics Web App Platform for Materials Discovery and Survey of State-of-the-Art. - Jianjun Hu; Stanislav Stefanov; Yuqi Song; Sadman Sadeed Omee; Steph-Yves M. Louis; Edirisuriya M. Dilanga Siriwardane; Yong Zhao 014 (CoRR, 2021)

Predicting Lattice Phonon Vibrational Frequencies Using Deep Graph Neural Networks. - Nghia Nguyen; Steph-Yves M. Louis; Lai Wei 008; Kamal Choudhary; Ming Hu; Jianjun Hu (CoRR, 2021)

NODE-SELECT: A graph neural network based on a selective propagation technique. - Steph-Yves M. Louis; Alireza Nasiri; Fatima J. Rolland; Cameron Mitro; Jianjun Hu (Neurocomputing, 2022)

Scalable deeper graph neural networks for high-performance materials property prediction. - Sadman Sadeed Omee; Steph-Yves M. Louis; Nihang Fu; Lai Wei 008; Sourin Dey; Rongzhi Dong; Qinyang Li; Jianjun Hu (Patterns, 2022)