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Jianjun Hu
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Publications
- 2024
- [i31]Sadman Sadeed Omee, Nihang Fu, Rongzhi Dong, Ming Hu, Jianjun Hu:
Structure-based out-of-distribution (OOD) materials property prediction: a benchmark study. CoRR abs/2401.08032 (2024) - 2022
- [i25]Yong Zhao, Edirisuriya M. Dilanga Siriwardane, Zhenyao Wu, Ming Hu, Nihang Fu, Jianjun Hu:
Physics Guided Generative Adversarial Networks for Generations of Crystal Materials with Symmetry Constraints. CoRR abs/2203.14352 (2022) - [i24]Andrew Eldridge, Alejandro Rodriguez, Ming Hu, Jianjun Hu:
Genetic programming-based learning of carbon interatomic potential for materials discovery. CoRR abs/2204.00735 (2022) - 2021
- [i11]Nghia Nguyen, Steph-Yves M. Louis, Lai Wei, Kamal Choudhary, Ming Hu, Jianjun Hu:
Predicting Lattice Phonon Vibrational Frequencies Using Deep Graph Neural Networks. CoRR abs/2111.05885 (2021) - 2020
- [i8]Yuqi Song, Joseph Lindsay, Yong Zhao, Alireza Nasiri, Steph-Yves M. Louis, Jie Ling, Ming Hu, Jianjun Hu:
Machine Learning based prediction of noncentrosymmetric crystal materials. CoRR abs/2002.11295 (2020) - [i6]Yong Zhao, Kunpeng Yuan, Yinqiao Liu, Steph-Yves M. Louis, Ming Hu, Jianjun Hu:
Predicting Elastic Properties of Materials from Electronic Charge Density Using 3D Deep Convolutional Neural Networks. CoRR abs/2003.13425 (2020) - 2019
- [i2]Yabo Dan, Yong Zhao, Xiang Li, Shaobo Li, Ming Hu, Jianjun Hu:
Generative adversarial networks (GAN) based efficient sampling of chemical space for inverse design of inorganic materials. CoRR abs/1911.05020 (2019)
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