Standout Papers

Machine Learning Force Fields: Construction, Validation, and Outlook 2016 2026 2019 2022 354
  1. Machine Learning Force Fields: Construction, Validation, and Outlook (2016)
    Venkatesh Botu, Rohit Batra et al. The Journal of Physical Chemistry C

Immediate Impact

1 by Nobel laureates 10 from Science/Nature 99 standout
Sub-graph 1 of 18

Citing Papers

Hydrogen Embrittlement as a Conspicuous Material Challenge─Comprehensive Review and Future Directions
2024 Standout
Machine Learning Aided Design and Optimization of Thermal Metamaterials
2024 Standout
11 intermediate papers

Works of James Chapman being referenced

Machine learning models for the prediction of energy, forces, and stresses for Platinum
2019
Machine Learning Force Fields: Construction, Validation, and Outlook
2016 Standout
and 3 more

Author Peers

Author Last Decade Papers Cites
James Chapman 633 64 86 209 130 24 723
Justin Gilmer 464 79 86 269 189 15 685
Lauri Himanen 715 56 69 185 66 11 809
Aldo Glielmo 428 66 94 208 203 17 657
Ganesh Sivaraman 511 127 60 117 109 41 715
Samuel M. Blau 310 48 99 126 106 29 812
Richard A. Messerly 387 250 111 136 104 38 673
Mathias Jørgensen 576 35 63 111 41 22 701
Rodrigo A. Vargas–Hernández 400 17 185 162 80 13 601
Yury Lysogorskiy 653 76 130 98 39 38 831
Pei‐Lin Kang 557 91 62 115 78 16 725

All Works

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Rankless by CCL
2026