A6: Dynamic heterogeneities in coarse-grained and fine-grained models of liquid crystals and ionic liquids

Dynamical properties across different coarse-grained models for ionic liquids
Joseph F Rudzinski, Sebastian Kloth, Svenja Wörner, Tamisra Pal, Kurt Kremer, Tristan Bereau, Michael Vogel
Journal of Physics: Condensed Matter 33 (22), 224001 (2021);
doi:10.1088/1361-648x/abe6e1

Coarse-grained model of a nanoscale-segregated ionic liquid for simulations of low-temperature structure and dynamics
Sebastian Kloth, Marvin P Bernhardt, Nico F A van der Vegt, Michael Vogel
Journal of Physics: Condensed Matter 33 (20), 204002 (2021);
doi:10.1088/1361-648x/abe606

Coarse-grained conformational surface hopping: Methodology and transferability
Joseph F. Rudzinski and Tristan Bereau
Journal of Chemical Physics 153, 214110 (2020);
URL: https://doi.org/10.1063/5.0031249
doi:10.1063/5.0031249

↓ Show Abstract↑ Hide Abstract Coarse-grained (CG) conformational surface hopping (SH) adapts the concept of multisurface dynamics, initially developed to describe electronic transitions in chemical reactions, to accurately describe classical molecular dynamics at a reduced level. The SH scheme couples distinct conformational basins (states), each described by its own force field (surface), resulting in a significant improvement of the approximation to the many-body potential of mean force [T. Bereau and J. F. Rudzinski, Phys. Rev. Lett. 121, 256002 (2018)]. The present study first describes CG SH in more detail, through both a toy model and a three-bead model of hexane. We further extend the methodology to non-bonded interactions and report its impact on liquid properties. Finally, we investigate the transferability of the surfaces to distinct systems and thermodynamic state points, through a simple tuning of the state probabilities. In particular, applications to variations in temperature and chemical composition show good agreement with reference atomistic calculations, introducing a promising “weak-transferability regime,” where CG force fields can be shared across thermodynamic and chemical neighborhoods.

Direct route to reproducing pair distribution functions with coarse-grained models via transformed atomistic cross correlations
Svenja J. Wörner, Tristan Bereau, Kurt Kremer, Joseph F. Rudzinski
The Journal of Chemical Physics 151 (24), 244110 (2019);
doi:10.1063/1.5131105

Automated detection of many-particle solvation states for accurate characterizations of diffusion kinetics
Joseph F. Rudzinski, Marc Radu, Tristan Bereau
The Journal of Chemical Physics 150 (2), 024102 (2019);
doi:10.1063/1.5064808

On the relevance of electrostatic interactions for the structural relaxation of ionic liquids: A molecular dynamics simulation study
Tamisra Pal, Michael Vogel
The Journal of Chemical Physics 150 (12), 124501 (2019);
doi:10.1063/1.5085508

Accurate Structure-Based Coarse Graining Leads to Consistent Barrier-Crossing Dynamics
Tristan Bereau, Joseph F. Rudzinski
Physical Review Letters 121 (25), (2018);
doi:10.1103/physrevlett.121.256002

Effects of Silica Surfaces on the Structure and Dynamics of Room-Temperature Ionic Liquids: A Molecular Dynamics Simulation Study
Tamisra Pal, Constantin Beck, Dominik Lessnich, Michael Vogel
The Journal of Physical Chemistry C 122 (1), 624-634 (2017);
doi:10.1021/acs.jpcc.7b10567

Single molecule translocation in smectics illustrates the challenge for time-mapping in simulations on multiple scales
Biswaroop Mukherjee, Christine Peter, Kurt Kremer
The Journal of Chemical Physics 147 (11), 114501 (2017);
doi:10.1063/1.5001482

Role of Dynamic Heterogeneities in Ionic Liquids: Insights from All-Atom and Coarse-Grained Molecular Dynamics Simulation Studies
Tamisra Pal, Michael Vogel
ChemPhysChem 18 (16), 2233-2242 (2017);
doi:10.1002/cphc.201700504

Computational materials discovery in soft matter
T. Bereau, D. Andrienko, K. Kremer
APL Mat 4, 053101 (2016);
doi:10.1063/1.4943287

↓ Show Abstract↑ Hide Abstract Soft matter embodies a wide range of materials, which all share the common characteristics of weak interaction energies determining their supramolecular structure. This complicates structure-property predictions and hampers the direct application of data-driven approaches to their modeling. We present several aspects in which these methods play a role in designing soft-matter materials: drug design as well as information-driven computer simulations, e.g., histogram reweighting. We also discuss recent examples of rational design of soft-matter materials fostered by physical insight and assisted by data-driven approaches. We foresee the combination of data-driven and physical approaches a promising strategy to move the field forward.

Concurrent parametrization against static and kinetic information leads to more robust coarse-grained force fields
J.F. Rudzinski, T. Bereau
The European Physical Journal Special Topics 225 (8-9), 1373-1389 (2016);
doi:10.1140/epjst/e2016-60114-5

Communication: Consistent interpretation of molecular simulation kinetics using Markov state models biased with external information
Joseph F. Rudzinski, Kurt Kremer, Tristan Bereau
The Journal of Chemical Physics 144 (5), 051102 (2016);
doi:10.1063/1.4941455

A molecular dynamics simulations study on the relations between dynamical heterogeneity, structural relaxation, and self-diffusion in viscous liquids
Patrick Henritzi, André Bormuth, Felix Klameth, Michael Vogel
The Journal of Chemical Physics 143 (16), 164502 (2015);
doi:10.1063/1.4933208