| Material transformers: deep learning language models for generative materials design N Fu, L Wei, Y Song, Q Li, R Xin, SS Omee, R Dong, EMD Siriwardane, ... Machine Learning: Science and Technology 4 (1), 015001, 2023 | 36 | 2023 |
| TCSP: a Template-Based Crystal Structure Prediction Algorithm for Materials Discovery L Wei, N Fu, EMD Siriwardane, W Yang, SS Omee, R Dong, R Xin, J Hu Inorganic Chemistry 61 (22), 8431-8439, 2022 | 34 | 2022 |
| Active-learning-based generative design for the discovery of wide-band-gap materials R Xin, EMD Siriwardane, Y Song, Y Zhao, SY Louis, A Nasiri, J Hu The Journal of Physical Chemistry C 125 (29), 16118-16128, 2021 | 25 | 2021 |
| Materials Transformers Language Models for Generative Materials Design: a benchmark study N Fu, L Wei, Y Song, Q Li, R Xin, SS Omee, R Dong, EMD Siriwardane, ... arXiv preprint arXiv:2206.13578, 2022 | 3 | 2022 |
| Comprehensive cross cancer analyses reveal mutational signature cancer specificity R Xin, L Jiang, H Yu, F Yan, J Tang, Y Guo Quantitative Biology, 2024 | | 2024 |
