Jörg Behler
Georg-August-Universität Göttingen
H-index: 60
Europe-Germany
Top articles of Jörg Behler
Hydrogen atom scattering at the Al 2 O 3 (0001) surface: a combined experimental and theoretical study
Physical Chemistry Chemical Physics
2024
Jörg Behler
H-Index: 44
From electrons to phase diagrams with classical and machine learning potentials: automated workflows for materials science with pyiron
arXiv preprint arXiv:2403.05724
2024/3/8
Accelerating fourth-generation machine learning potentials by quasi-linear scaling particle mesh charge equilibration
arXiv preprint arXiv:2403.02155
2024/3/4
Perspective: Atomistic Simulations of Water and Aqueous Systems with Machine Learning Potentials
arXiv preprint arXiv:2401.17875
2024/1/31
Jörg Behler
H-Index: 44
Christoph Dellago
H-Index: 34
A new polymorph of white phosphorus at ambient conditions
IUCrJ
2023/11/1
Xiaobai Wang
H-Index: 11
Jörg Behler
H-Index: 44
High-Dimensional Neural Network Potentials for Accurate Prediction of Equation of State: A Case Study of Methane
Journal of Chemical Theory and Computation
2023/10/30
How to train a neural network potential
The Journal of Chemical Physics
2023/9/28
Jörg Behler
H-Index: 44
Accelerating Non-Empirical Structure Determination of Ziegler–Natta Catalysts with a High-Dimensional Neural Network Potential
The Journal of Physical Chemistry C
2023/6/9
Accurate fourth-generation machine learning potentials by electrostatic embedding
Journal of Chemical Theory and Computation
2023/6/8
Introduction to materials informatics
Materials Advances
2023
Jörg Behler
H-Index: 44
Machine learning transferable atomic forces for large systems from underconverged molecular fragments
Physical Chemistry Chemical Physics
2023
Jörg Behler
H-Index: 44
Coupled Cluster Molecular Dynamics of Condensed Phase Systems Enabled by Machine Learning Potentials: Liquid Water Benchmark
Physical Review Letters
2022/11/23
Jörg Behler
H-Index: 44
Roadmap on machine learning in electronic structure
Electronic Structure
2022/8/19
Thomas Hammerschmidt
H-Index: 18
Jonathan Schmidt
H-Index: 6
Silvana Botti
H-Index: 29
Mario Boley
H-Index: 13
Milica Todorović
H-Index: 10
Patrick Rinke
H-Index: 46
Corey Oses
H-Index: 18
Alexandre Tkatchenko
H-Index: 62
Sergei Manzhos
H-Index: 31
Jörg Behler
H-Index: 44
Max Veit
H-Index: 3
Andrea Grisafi
H-Index: 7
Jigyasa Nigam
H-Index: 2
Michele Ceriotti
H-Index: 45
Michael Gastegger
H-Index: 13
Kieron Burke
H-Index: 46
Jan Hermann
H-Index: 10
Claudia Draxl
H-Index: 41
Santiago Rigamonti
H-Index: 7
Markus Scheidgen
H-Index: 7
Marco Esters
H-Index: 9
David Hicks
H-Index: 18
Colin Bellinger
H-Index: 11
A Hessian-based assessment of atomic forces for training machine learning interatomic potentials
The Journal of Chemical Physics
2022/3/21
Jörg Behler
H-Index: 44
Neural Network Potentials: A Concise Overview of Methods
2022/4/20
Tsz Wai Ko
H-Index: 2
Jörg Behler
H-Index: 44
Insights into lithium manganese oxide–water interfaces using machine learning potentials
The Journal of Chemical Physics
2021/12/28
Marco Eckhoff
H-Index: 5
Jörg Behler
H-Index: 44
High-dimensional neural network potentials for magnetic systems using spin-dependent atom-centered symmetry functions
npj Computational Materials
2021/10/15
Marco Eckhoff
H-Index: 5
Jörg Behler
H-Index: 44
Machine learning potentials for extended systems: a perspective
The European Physical Journal B
2021/7
Jörg Behler
H-Index: 44
Properties of α-Brass Nanoparticles II: Structure and Composition
The Journal of Physical Chemistry C
2021/6/30
A bin and hash method for analyzing reference data and descriptors in machine learning potentials
Machine Learning: Science and Technology
2021/4/22
Jörg Behler
H-Index: 44
Co-Authors
