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Bowen Deng
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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
832023
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
402019
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
372019
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
182022
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
162020
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
42023
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
12022
The effect of cation-disorder on lithium transport in halide superionic conductors
P Zhong, S Gupta, B Deng, KJ Jun, G Ceder
arXiv preprint arXiv:2403.08237, 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
Deep learning of experimental electrochemistry for battery cathodes across diverse compositions
P Zhong, B Deng, T He, Z Lun, G Ceder
arXiv preprint arXiv:2304.04986, 2023
2023
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
Modeling phase transformations in Mn-rich cathodes with charge-informed machine-learning interatomic potentials
P Zhong, B Deng, S Anand, T Mishra, G Ceder
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Articles 1–12