Dominik Marx

Affiliations: 
1999- Ruhr-Universität Bochum, Bochum, Nordrhein-Westfalen, Germany 
Website:
https://www.theochem.ruhr-uni-bochum.de/de/allcategories-de-de/forschung/marx/forschungmarx
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"Dominik Marx"
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Parents

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Max Wolfsberg research assistant 1984-1990 UC Irvine
 (Isotopeneffekte in Molekuelen)
Hans Sillescu research assistant 1990-1990 Universität Mainz
 (Molekulardynamik Simulationen von nichtwaessrigen Elektrolyten)
Kurt Binder grad student 1990-1992 Universität Mainz (Physics Tree)
 (Quanten Monte Carlo Simulationen von molekularen Adsorbaten)
Michele Parrinello post-doc 1993-1999 ETH Zürich
 (Car–Parrinello ab initio Molekulardynamik Simulationen)
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Publications

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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
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
Beckmann R, Schran C, Brieuc F, et al. (2024) Theoretical infrared spectroscopy of protonated methane isotopologues. Physical Chemistry Chemical Physics : Pccp
Simkó I, Schran C, Brieuc F, et al. (2023) Quantum nuclear delocalization and its rovibrational fingerprints. Angewandte Chemie (International Ed. in English). e202306744
Davies JA, Schran C, Brieuc F, et al. (2023) Onset of Rotational Decoupling for a Molecular Ion Solvated in Helium: From Tags to Rings and Shells. Physical Review Letters. 130: 083001
Daru J, Forbert H, Behler J, et al. (2022) Coupled Cluster Molecular Dynamics of Condensed Phase Systems Enabled by Machine Learning Potentials: Liquid Water Benchmark. Physical Review Letters. 129: 226001
Larsson HR, Schröder M, Beckmann R, et al. (2022) State-resolved infrared spectrum of the protonated water dimer: revisiting the characteristic proton transfer doublet peak. Chemical Science. 13: 11119-11125
Beckmann R, Brieuc F, Schran C, et al. (2022) Infrared Spectra at Coupled Cluster Accuracy from Neural Network Representations. Journal of Chemical Theory and Computation. 18: 5492-5501
DuránCaballero L, Schran C, Brieuc F, et al. (2022) Neural network interaction potentials for para-hydrogen with flexible molecules. The Journal of Chemical Physics. 157: 074302
Schran C, Brieuc F, Marx D. (2021) Transferability of machine learning potentials: Protonated water neural network potential applied to the protonated water hexamer. The Journal of Chemical Physics. 154: 051101
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