Standout Papers

Generalized Neural-Network Representation of High-Dimensional Potential-Energy Surfaces 2007 2026 2013 2019 3.1k
  1. Generalized Neural-Network Representation of High-Dimensional Potential-Energy Surfaces (2007)
    Jörg Behler, Michele Parrinello Physical Review Letters
  2. Atom-centered symmetry functions for constructing high-dimensional neural network potentials (2011)
    Jörg Behler The Journal of Chemical Physics
  3. Perspective: Machine learning potentials for atomistic simulations (2016)
    Jörg Behler The Journal of Chemical Physics
  4. Constructing high‐dimensional neural network potentials: A tutorial review (2015)
    Jörg Behler International Journal of Quantum Chemistry
  5. Performance and Cost Assessment of Machine Learning Interatomic Potentials (2020)
    Yunxing Zuo, Chi Chen et al. The Journal of Physical Chemistry A
  6. Neural network potential-energy surfaces in chemistry: a tool for large-scale simulations (2011)
    Jörg Behler Physical Chemistry Chemical Physics
  7. First Principles Neural Network Potentials for Reactive Simulations of Large Molecular and Condensed Systems (2017)
    Jörg Behler Angewandte Chemie International Edition
  8. Four Generations of High-Dimensional Neural Network Potentials (2021)
    Jörg Behler Chemical Reviews
  9. A fourth-generation high-dimensional neural network potential with accurate electrostatics including non-local charge transfer (2021)
    Tsz Wai Ko, Jonas A. Finkler et al. Nature Communications
  10. How van der Waals interactions determine the unique properties of water (2016)
    Tobias Morawietz, Andreas Singraber et al. Proceedings of the National Academy of Sciences
  11. Ab initio thermodynamics of liquid and solid water (2019)
    Bingqing Cheng, Edgar A. Engel et al. Proceedings of the National Academy of Sciences

Immediate Impact

3 by Nobel laureates 28 from Science/Nature 207 standout
Sub-graph 1 of 13

Citing Papers

MACE-OFF: Short-Range Transferable Machine Learning Force Fields for Organic Molecules
2025 Standout
Computational design of soluble and functional membrane protein analogues
2024 StandoutNatureNobel
1 intermediate paper

Works of Jörg Behler being referenced

Four Generations of High-Dimensional Neural Network Potentials
2021 Standout
Generalized Neural-Network Representation of High-Dimensional Potential-Energy Surfaces
2007 Standout

Author Peers

Author Last Decade Papers Cites
Jörg Behler 12518 4106 2476 3375 116 14.9k
Gábor Cśanyi 14020 3096 2938 3529 168 17.2k
O. Anatole von Lilienfeld 8041 2830 1178 4327 115 10.6k
Alexandre Tkatchenko 16398 8486 5153 4093 234 24.8k
Michele Ceriotti 6294 3751 1076 2024 165 10.4k
Stefan Goedecker 10003 7032 4238 835 158 18.2k
Albert P. Bartók 6687 1586 1113 2035 50 8.0k
Volker L. Deringer 10794 1550 4532 900 139 14.3k
Miguel A. L. Marques 8312 6378 3653 494 247 15.9k
Artem R. Oganov 18113 3818 3018 678 339 25.6k
Roy L. Johnston 9250 3943 1886 331 289 14.8k

All Works

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Rankless by CCL
2026