Standout Papers

CHGNet as a pretrained universal neural network potential for charge-informed atomistic modelling 2023 2026 2024352
  1. CHGNet as a pretrained universal neural network potential for charge-informed atomistic modelling (2023)
    Bowen Deng, Peichen Zhong et al. Nature Machine Intelligence

Immediate Impact

1 from Science/Nature 69 standout
Sub-graph 1 of 23

Citing Papers

Fast-charge high-voltage layered cathodes for sodium-ion batteries
2024 Standout
Recycling of LiFePO4 cathode materials: From laboratory scale to industrial production
2024 Standout
2 intermediate papers

Works of Peichen Zhong being referenced

Non-topotactic reactions enable high rate capability in Li-rich cathode materials
2021

Author Peers

Author Last Decade Papers Cites
Peichen Zhong 443 357 56 99 25 731
KyuJung Jun 525 424 30 113 23 796
Chuhong Wang 385 290 58 75 24 683
Garvit Agarwal 330 294 26 83 28 644
Amir Hajibabaei 481 469 34 93 22 799
Evan Walter Clark Spotte‐Smith 216 361 29 214 25 600
Samuel M. Blau 310 357 99 207 29 812
Artem A. Kabanov 533 447 33 59 39 850
Fleur Legrain 289 382 72 27 16 589
Joanne Budzien 294 323 74 185 22 800
Eunseok Lee 360 582 48 107 16 724

All Works

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2026