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Viktor Klippenstein
Viktor Klippenstein
Computational Physical Chemistry, Technical University of Darmstadt
Verified email at cpc.tu-darmstadt.de
Title
Cited by
Cited by
Year
Introducing memory in coarse-grained molecular simulations
V Klippenstein, M Tripathy, G Jung, F Schmid, NFA van der Vegt
The Journal of Physical Chemistry B 125 (19), 4931-4954, 2021
762021
Cross-correlation corrected friction in (generalized) Langevin models
V Klippenstein, NFA van der Vegt
The Journal of Chemical Physics 154 (19), 2021
172021
Bottom-up informed and iteratively optimized coarse-grained non-Markovian water models with accurate dynamics
V Klippenstein, NFA van der Vegt
Journal of Chemical Theory and Computation 19 (4), 1099-1110, 2023
92023
Cross-correlation corrected friction in generalized Langevin models: Application to the continuous Asakura–Oosawa model
V Klippenstein, NFA van der Vegt
The Journal of Chemical Physics 157 (4), 2022
72022
Chemical bonding in initial building blocks of semiconductors: Geometrical structures and optical absorption spectra of isolated CdSe2+ and Cd2Se2+ species
M Jäger, A Shayeghi, V Klippenstein, RL Johnston, R Schäfer
The Journal of Chemical Physics 149 (24), 2018
72018
Dynamical coarse-grained models of molecular liquids and their ideal and non-ideal mixtures
M Tripathy, V Klippenstein, NFA Van der Vegt
The Journal of Chemical Physics 159 (9), 2023
22023
A Gauss-Newton method for iterative optimization of memory kernels for generalized Langevin thermostats in coarse-grained molecular dynamics simulations
V Klippenstein, N Wolf, NFA van der Vegt
arXiv preprint arXiv:2402.10652, 2024
2024
Data of the publication: Bottom-up Informed and Iteratively Optimized Coarse-Grained Non-Markovian Water Models With Accurate Dynamics.
V Klippenstein, N van der Vegt
2022
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