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Jörg Behler

7PUBLICATIONS

11CO-AUTHORS

Functional materialsOptimisationElectrical energy generation (incl. renewables, excl. photovoltaics)Computational chemistryModelling and simulation

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Publications (7)

Sort by Publication Date:

|Jan 01, 2022

Insights into lithium manganese oxide-water interfaces using machine learning potentials.

Marco Eckhoff, Jörg Behler

|Jan 22, 2021

A flexible and adaptive grid algorithm for global optimization utilizing basin hopping Monte Carlo.

Martín Leandro Paleico, Jörg Behler

|Nov 03, 2020

Predicting oxidation and spin states by high-dimensional neural networks: Applications to lithium manganese oxide spinels.

Marco Eckhoff, Knut Nikolas Lausch, Peter E Blöchl

|Aug 11, 2020

Global optimization of copper clusters at the ZnO(101¯0) surface using a DFT-based neural network potential and genetic algorithms.

Martín Leandro Paleico, Jörg Behler

|Jul 02, 2018

Automatic selection of atomic fingerprints and reference configurations for machine-learning potentials.

Giulio Imbalzano, Andrea Anelli, Daniele Giofré

|Jul 02, 2018

Maximally resolved anharmonic OH vibrational spectrum of the water/ZnO(101¯0) interface from a high-dimensional neural network potential.

Vanessa Quaranta, Matti Hellström, Jörg Behler

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Frequent Collaborators

2 joint publications

Michele Ceriotti

2 joint publications

Martín Leandro Paleico

2 joint publications

Marco Eckhoff

1 joint publications

Francesco Paesani

1 joint publications

Vanessa Quaranta

1 joint publications

Matti Hellström

1 joint publications

Pavlin D Mitev

1 joint publications

Kersti Hermansson

1 joint publications

Andrea Anelli

1 joint publications

Daniele Giofré

Frequent Collaborators

2 joint publications

Michele Ceriotti

2 joint publications

Martín Leandro Paleico

2 joint publications

Marco Eckhoff

1 joint publications

Francesco Paesani

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