Jörg Behler
- Four Generations of High-Dimensional Neural Network Potentials
2021/03/29 by Jörg Behler · 39 citations
Materials Science · Physics and Astronomy · #Advanced Chemical Physics Studies #Machine Learning in Materials Science #X-ray Diffraction in Crystallography
- Performance and Cost Assessment of Machine Learning Interatomic Potentials
2020/01/09 by Yunxing Zuo, Chi Chen, Xiangguo Li +8 · 33 citations
Chemistry · Materials Science · #Crystallography and molecular interactions #Machine Learning in Materials Science #X-ray Diffraction in Crystallography
- Constructing high‐dimensional neural network potentials: A tutorial review
2015/03/06 by Jörg Behler · 26 citations
Materials Science · Chemistry · #Machine Learning in Materials Science #X-ray Diffraction in Crystallography #Crystallography and molecular interactions
- Neural Network Potentials: A Concise Overview of Methods
2022/01/04 by Emir Kocer, Tsz Wai Ko, Jörg Behler · 14 citations
Materials Science · Computer Science · Chemistry · #Machine Learning in Materials Science #Computational Drug Discovery Methods #Electrochemical Analysis and Applications
- Roadmap on Advancements of the FHI-aims Software Package
2025/04/30 by Joseph W. Abbott, Abbott, Joseph W., Carlos Mera Acosta +405 · 3 voices · 7 citations
#cond-mat.mtrl-sci #physics.chem-ph
- Machine Learning Potentials for Heterogeneous Catalysis
2024/11/01 by Amir Omranpour, Omranpour, Amir, Jan Elsner +5 · 6 citations
Materials Science · #Machine Learning in Materials Science
- Machine learning potentials for redox chemistry in solution
2024/10/04 by Emir Kocer, Redouan El Haouari, Kocer, Emir +5 · 1 voice · 2 citations
#physics.chem-ph
- Hydrogen atom scattering at the Al <sub>2</sub> O <sub>3</sub> (0001) surface: a combined experimental and theoretical study
2023/12/15 by Martin Liebetrau, Yvonne Dorenkamp, Oliver Bünermann +1 · 1 voice · 1 citation
Engineering · Materials Science · #Electron and X-Ray Spectroscopy Techniques #Ion-surface interactions and analysis #Machine Learning in Materials Science
- RuNNer 2.0: A Software Suite for High-Dimensional Neural Network Potentials
2026/07/20 by Alexander L. M. Knoll, Moritz R. Schäfer, K. Nikolas Lausch +10
#physics.chem-ph #cond-mat.mtrl-sci #physics.comp-ph
- A high-dimensional neural network potential for finite-temperature phenomena in NiTi martensite
2026/07/22 by Petr Jaroš, Petr Sedlák, Petr Šesták +3
#cond-mat.mtrl-sci