Publications

If you are using CMD in your research, please reference the following work:

Preprints

1. Physics Guided Generative Adversarial Networks for Generations of Crystal Materials with Symmetry Constraints

   Yong Zhao, Edirisuriya MD Siriwardane, Zhenyao Wu, Ming Hu, Nihang Fu, Jianjun Hu

   arxiv 2022 Arxiv

Journals

1. High-throughput discovery of novel cubic crystal materials using deep generative neural networks

   Yong Zhao, Mohammed Al-Fahdi, Ming Hu, Edirisuriya MD Siriwardane, Yuqi Song, Alireza Nasiri and Jianjun Hu

   Adv. Sci. 2021 doi/10.1002/advs.202100566

2. Generative adversarial networks (GAN) based efficient sampling of chemical composition space for inverse design of inorganic materials

   Yabo Dan, Yong Zhao, Xiang Li, Shaobo Li, Ming Hu, Jianjun Hu

   Npj Comput. Mater. 2021 doi.org/10.1038/s41524-020-00352-0

Conferences

1. Physics guided deep learning generative models for crystal materials discovery

   Yong Zhao, Edirisuriya MD Siriwardane, Jianjun Hu

   AAAI Fall Symposium Series (FSS) 2021 Paper Link Arxiv

   Symposium Site