Jörg Behler
Affiliations: | Georg-August-Universität Göttingen, Göttingen, Niedersachsen, Germany |
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"Jörg Behler"Parents
Sign in to add mentor| Karsten Reuter | grad student | 2000-2004 | Fritz Haber Institute of the Max Planck Society (Physics Tree) |
| Matthias Scheffler | grad student | 2000-2004 | Fritz Haber Institute (Physics Tree) |
| Michele Parrinello | post-doc | 2005-2007 | ETH Zürich |
| Dominik Marx | post-doc | 2007-2008 | Ruhr-Universität Bochum |
Children
Sign in to add trainee| Prokop Hapala | research assistant | 2017-2018 | Universität Göttingen (Physics Tree) |
| Nongnuch Artrith | grad student | ||
| Tobias Morawietz | grad student | Ruhr University–Bochum, Bochum, German |
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Publications
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| Kocer E, Singraber A, Finkler JA, et al. (2025) Iterative charge equilibration for fourth-generation high-dimensional neural network potentials. The Journal of Chemical Physics. 162 |
| Gubler M, Schäfer MR, Behler J, et al. (2025) Accuracy of charge densities in electronic structure calculations. The Journal of Chemical Physics. 162 |
| Stolte N, Daru J, Forbert H, et al. (2025) Random Sampling Versus Active Learning Algorithms for Machine Learning Potentials of Quantum Liquid Water. Journal of Chemical Theory and Computation. 21: 886-899 |
| Omranpour A, Behler J. (2024) A high-dimensional neural network potential for CoO. Journal of Physics. Condensed Matter : An Institute of Physics Journal |
| Stolte N, Daru J, Forbert H, et al. (2024) Nuclear Quantum Effects in Liquid Water Are Marginal for Its Average Structure but Significant for Dynamics. The Journal of Physical Chemistry Letters. 15: 12144-12150 |
| Zare M, Sahsah D, Saleheen M, et al. (2024) Hybrid Quantum Mechanical, Molecular Mechanical, and Machine Learning Potential for Computing Aqueous-Phase Adsorption Free Energies on Metal Surfaces. Journal of Chemical Theory and Computation |
| Gubler M, Finkler JA, Schäfer MR, et al. (2024) Accelerating Fourth-Generation Machine Learning Potentials Using Quasi-Linear Scaling Particle Mesh Charge Equilibration. Journal of Chemical Theory and Computation |
| Omranpour A, Montero De Hijes P, Behler J, et al. (2024) Perspective: Atomistic simulations of water and aqueous systems with machine learning potentials. The Journal of Chemical Physics. 160 |
| Tokita AM, Behler J. (2023) How to train a neural network potential. The Journal of Chemical Physics. 159 |
| Abedi M, Behler J, Goldsmith CF. (2023) High-Dimensional Neural Network Potentials for Accurate Prediction of Equation of State: A Case Study of Methane. Journal of Chemical Theory and Computation. 19: 7825-7832 |