-
Publication: Horstmann et al (2022): Langmuir 38, 6506
Meta data only (invited feature article) -
Publication: Koester et al (2022), J. Chem. Phys. 156, 074501
Link to publication. The data that support the findings of this study are available from the corresponding author upon reasonable request. -
Publication: Ahmad & Vogel (2026) Soft Matter 22, 3750
Data that support the findings of this study -
Publication: Hofmann et al 2026: A general model for frictional contacts in...
Scripts and codes related to K. Hofmann, K.-R. Dormann, B. Liebchen, F. Schmid, (preprint) "A general model for frictional contacts in colloidal systems" -
Publication: Cross-correlated friction correction in generalized Langevin...
This is just meta data. -
Publication: Dynamical coarse-grained models of molecular liquids and their...
The data that support the findings of the related publication. -
Publication: Bottom-Up Informed and Iteratively Optimized Coarse-Grained...
This entry provides all results (memory kernels, VACFS etc.) as text files, as well as input data for the AA model and the CG models discussed in the related publication... -
Publication: Transferable local density-dependent friction in...
The data that support the findings of the related publication. -
Publication: Cross-correlations in the fluctuation– dissipation relation...
The data that supports the findings of the related publication, input files for simulations, the raw data used to generate the figures, and an implementation of the GLEs... -
Publication: Memory effects in contact-line friction
The data that support the findings of the related Publication, input files for simulations, and the raw data used to generate the figures shown. -
Publication: Matching correlations matters: Modeling friction in a...
The data that support the findings in the related publication, input files for simulations. -
Publication: A Gauss–Newton method for iterative optimization of memory...
This entry contains files for simulations, raw data of the shown figures, and an implementations of IOMK-GN, IOMK, and the Gauss–Newton method for fitting memory kernels. -
Data supporting: A Generic Model for pH-Sensitive Collapse of Hydrophobic Polymers
This dataset contains input scripts and files to generate the data for the publication titled "A Generic Model for pH-Sensitive Collapse of Hydrophobic Polymers". -
Data supporting: Thermoresponsivity and Cononsolvency of a Minimal Polymer...
This data contains the input files, scripts, and the computed values to reproduce the results in the manuscript titled: Thermoresponsivity and Cononsolvency of a Minimal Polymer... -
Data supporting: Pressure-induced pKa shifts influence conformations of...
This dataset contains input scripts and files to generate the data for the publication titled "Pressure-induced pKa shifts influence conformations of pH-sensitive polymers". -
Data of the publication: Stability, Speed, and Constraints for Structural...
Jupyter notebook files, tabulated potentials, and simulation files for the publication. -
Data of the publication: Where Lennard-Jones Potentials Fail:Iterative...
Jupyter notebook file and simulation data and results