| CHGNet as a pretrained universal neural network potential for charge-informed atomistic modelling B Deng, P Zhong, KJ Jun, J Riebesell, K Han, CJ Bartel, G Ceder Nature Machine Intelligence 5 (9), 1031-1041, 2023 | 322 | 2023 |
| Soft phonons and ultralow lattice thermal conductivity in the Dirac semimetal S Yue, HT Chorsi, M Goyal, T Schumann, R Yang, T Xu, B Deng, ... Physical Review Research 1 (3), 033101, 2019 | 43 | 2019 |
| Layer dependence of stacking order in nonencapsulated few-layer CrI3 K Guo, B Deng, Z Shi, Y Li, X Wang, L Bi, L Zhang, H Lu, P Zhou, L Zhang, ... arXiv preprint arXiv:1907.08886, 2019 | 42 | 2019 |
| Matbench Discovery--An evaluation framework for machine learning crystal stability prediction J Riebesell, REA Goodall, A Jain, P Benner, C Yuan, B Deng, AA Lee, ... arXiv preprint arXiv:2308.14920, 2023 | 34 | 2023 |
| ULSA: unified language of synthesis actions for the representation of inorganic synthesis protocols Z Wang, K Cruse, Y Fei, A Chia, Y Zeng, H Huo, T He, B Deng, ... Digital Discovery 1 (3), 313-324, 2022 | 27 | 2022 |
| Phonon softening near topological phase transitions S Yue, B Deng, Y Liu, Y Quan, R Yang, B Liao Physical Review B 102 (23), 235428, 2020 | 20 | 2020 |
| Systematic softening in universal machine learning interatomic potentials B Deng, Y Choi, P Zhong, J Riebesell, S Anand, Z Li, KJ Jun, KA Persson, ... npj Computational Materials 11 (1), 1-9, 2025 | 18* | 2025 |
| Deep learning of experimental electrochemistry for battery cathodes across diverse compositions P Zhong, B Deng, T He, Z Lun, G Ceder Joule, 2024 | 7 | 2024 |
| Matbench Discovery–A framework to evaluate machine learning crystal stability predictions, 2024 J Riebesell, REA Goodall, P Benner, Y Chiang, B Deng, AA Lee, A Jain, ... arXiv preprint arXiv:2308.14920, 0 | 7 | |
| Effect of Cation Disorder on Lithium Transport in Halide Superionic Conductors P Zhong, S Gupta, B Deng, KJ Jun, G Ceder ACS Energy Letters 9, 2775-2781, 2024 | 5 | 2024 |
| Oxygen Dimerization-Driven Cation Migration Induces Voltage Hysteresis in Disordered Rocksalt Cathodes B Kim, P Zhong, Y Choi, S Anand, HM Hau, B Deng, G Ceder Journal of the American Chemical Society 147 (1), 223-233, 2024 | 1 | 2024 |
| ULSA: Unified Language of Synthesis Actions for Representation of Synthesis Protocols Z Wang, K Cruse, Y Fei, A Chia, Y Zeng, H Huo, T He, B Deng, ... arXiv preprint arXiv:2201.09329, 2022 | 1 | 2022 |
| A Practical Guide to Machine Learning Interatomic Potentials–Status and Future R Jacobs, D Morgan, S Attarian, J Meng, C Shen, Z Wu, C Xie, JH Yang, ... Current opinion in solid state materials science, 2025 | | 2025 |
| Foundational Machine Learning Interatomic Potential to Study Li-Ion Battery Cathode Phase Transformation with Charge Transfer B Deng, P Zhong, KJ Jun, J Riebesell, K Han, CJ Bartel, G Ceder Electrochemical Society Meeting Abstracts prime2024, 333-333, 2024 | | 2024 |
| Revealing cation-disorder effects on lithium transport in halide superionic conductors P Zhong, S Gupta, B Deng, KJ Jun, G Ceder Bulletin of the American Physical Society, 2024 | | 2024 |
| CHGNet: Pretrained Neural Network Potential for Fast and Accurate Charge-constrained Molecular Dynamics B Deng, P Zhong, G Ceder APS March Meeting Abstracts 2023, Q53. 006, 2023 | | 2023 |
| Inpainting crystal structure generations with score-based denoising X Dai, P Zhong, B Deng, Y Chen, G Ceder ICML 2024 AI for Science Workshop, 0 | | |
| Modeling phase transformations in Mn-rich cathodes with charge-informed machine-learning interatomic potentials P Zhong, B Deng, S Anand, T Mishra, G Ceder | | |
Gerbrand CederProfessor of Materials Science and Engineeringberkeley.edu의 이메일 확인됨