Jörg Behler

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16 Publications

Publication								Year
A high-dimensional neural network potential for Co₃O₄ Authors : Amir Omranpour , Jörg Behler Journal : Journal of Physics: Condensed Matter								2024
Develop and Verify Shot Peening Processes Authors : Jörg Behler Journal : IST International Surface Technology Journal Reference count : 3 Volume : 16 Pages : 38-41								2023
Kugelstrahlprozesse entwickeln und absichern Authors : Jörg Behler Journal : JOT Journal für Oberflächentechnik Journal Reference count : 3 Volume : 62 Pages : 72-75								2022
Four Generations of High-Dimensional Neural Network Potentials Authors : Jörg Behler Journal : Chemical Reviews Journal Reference count : 329 Volume : 121 Pages : 10037-10072								2021
Insights into lithium manganese oxide–water interfaces using machine learning potentials Authors : Marco Eckhoff , Jörg Behler Journal : The Journal of Chemical Physics Journal Reference count : 113 Volume : 155								2021
Machine learning potentials for extended systems: a perspective Authors : Jörg Behler , Gábor Csányi Journal : The European Physical Journal B Journal Reference count : 88 Volume : 94								2021
First Principles Neural Network Potentials for Reactive Simulations of Large Molecular and Condensed Systems Authors : Jörg Behler Journal : Angewandte Chemie International Edition Journal Reference count : 140 Volume : 56 Pages : 12828-12840								2017
Hochdimensionale neuronale Netze für Potentialhyperflächen großer molekularer und kondensierter Systeme Authors : Jörg Behler Journal : Angewandte Chemie Journal Reference count : 140 Volume : 129 Pages : 13006-13020								2017
Symposium für theoretische Chemie 2016: Chemie in Lösung Authors : Michael Römelt , Jörg Behler Journal : Nachrichten aus der Chemie Volume : 65 Pages : 78-78								2017
Surface phase diagram prediction from a minimal number of DFT calculations: redox-active adsorbates on zinc oxide Authors : Matti Hellström , Jörg Behler Journal : Physical Chemistry Chemical Physics Journal Reference count : 74 Volume : 19 Pages : 28731-28748								2017
Erratum: “Perspective: Machine learning potentials for atomistic simulations” [J. Chem. Phys. 145, 170901 (2016)] Authors : Jörg Behler Journal : The Journal of Chemical Physics Journal Reference count : 2 Volume : 145								2016
Machine‐Learning‐Potenziale Authors : Jörg Behler Journal : Nachrichten aus der Chemie Journal Reference count : 14 Volume : 64 Pages : 323-325								2016
Perspective: Machine learning potentials for atomistic simulations Authors : Jörg Behler Journal : The Journal of Chemical Physics Journal Reference count : 73 Volume : 145								2016
Constructing high‐dimensional neural network potentials: A tutorial review Authors : Jörg Behler Journal : International Journal of Quantum Chemistry Journal Reference count : 112 Volume : 115 Pages : 1032-1050								2015
Neural network potential-energy surfaces in chemistry: a tool for large-scale simulations Authors : Jörg Behler Journal : Physical Chemistry Chemical Physics Journal Reference count : 148 Volume : 13 Pages : 17930								2011
Atom-centered symmetry functions for constructing high-dimensional neural network potentials Authors : Jörg Behler Journal : The Journal of Chemical Physics Journal Reference count : 50 Volume : 134								2011

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Jörg behler

16 Publications

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Jörg behler

16 Publications

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