Jörg Behler

Affiliations: 
Georg-August-Universität Göttingen, Göttingen, Niedersachsen, Germany 
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"Jörg Behler"
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Kocer E, Ko TW, Behler J. (2022) Neural Network Potentials: A Concise Overview of Methods. Annual Review of Physical Chemistry. 73: 163-186
Eckhoff M, Behler J. (2022) Insights into lithium manganese oxide-water interfaces using machine learning potentials. The Journal of Chemical Physics. 155: 244703
Behler J. (2021) Four Generations of High-Dimensional Neural Network Potentials. Chemical Reviews
Ko TW, Finkler JA, Goedecker S, et al. (2021) General-Purpose Machine Learning Potentials Capturing Nonlocal Charge Transfer. Accounts of Chemical Research
Ko TW, Finkler JA, Goedecker S, et al. (2021) A fourth-generation high-dimensional neural network potential with accurate electrostatics including non-local charge transfer. Nature Communications. 12: 398
Wille S, Jiang H, Bünermann O, et al. (2020) An experimentally validated neural-network potential energy surface for H-atom on free-standing graphene in full dimensionality. Physical Chemistry Chemical Physics : Pccp
Ghorbanfekr H, Behler J, Peeters FM. (2020) Insights into Water Permeation through hBN Nanocapillaries by Ab Initio Machine Learning Molecular Dynamics Simulations. The Journal of Physical Chemistry Letters
Paleico ML, Behler J. (2020) Global optimization of copper clusters at the ZnO(101¯0) surface using a DFT-based neural network potential and genetic algorithms. The Journal of Chemical Physics. 153: 054704
Lu D, Behler J, Li J. (2020) Accurate Global Potential Energy Surfaces for the H + CHOH Reaction by Neural Network Fitting with Permutation Invariance. The Journal of Physical Chemistry. A
Zuo Y, Chen C, Li XG, et al. (2020) A Performance and Cost Assessment of Machine Learning Interatomic Potentials. The Journal of Physical Chemistry. A
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