Standout Papers

Approaching coupled cluster accuracy with a general-purpose neural network potential through transfer lear... 2019 2026 2021 2023 458
  1. Approaching coupled cluster accuracy with a general-purpose neural network potential through transfer learning (2019)
    Justin S. Smith, Benjamin Nebgen et al. Nature Communications
  2. Extending the Applicability of the ANI Deep Learning Molecular Potential to Sulfur and Halogens (2020)
    Christian Devereux, Justin S. Smith et al. Journal of Chemical Theory and Computation
  3. Exploring the frontiers of condensed-phase chemistry with a general reactive machine learning potential (2024)
    Shuhao Zhang, Ryan B. Jadrich et al. Nature Chemistry

Immediate Impact

2 by Nobel laureates 23 from Science/Nature 97 standout
Sub-graph 1 of 19

Citing Papers

Dispersion-assisted high-dimensional photodetector
2024 StandoutNature
Big data in Earth science: Emerging practice and promise
2024 StandoutScience
2 intermediate papers

Works of Kipton Barros being referenced

Approaching coupled cluster accuracy with a general-purpose neural network potential through transfer learning
2019 Standout
Earthquake Catalog‐Based Machine Learning Identification of Laboratory Fault States and the Effects of Magnitude of Completeness
2018

Author Peers

Author Last Decade Papers Cites
Kipton Barros 425 1623 646 864 86 2.8k
Leslie Vogt-Maranto 143 1338 829 384 33 3.4k
Weiqing Ren 395 1087 979 474 59 4.2k
J. Christian Schön 521 2913 744 166 170 4.3k
Bertrand Duplantier 2243 986 1081 185 109 4.1k
Konrad Hinsen 160 1366 821 196 93 3.3k
S G Whittington 1810 1259 922 347 228 4.3k
Yacov Kantor 1110 1312 739 176 91 3.8k
Lin Lin 479 1637 2047 477 167 4.3k
Zhendong Li 197 1013 1819 151 84 3.6k
Deepak Dhar 3031 941 517 578 139 4.1k

All Works

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Rankless by CCL
2026