Data Generation: Prediction
Author Affiliation: Universität Stuttgart
Subject: Physics
Author Name: Hansen, Niels
1 to 3 of 3 Results
Aug 26, 2022
Zimmermann, Nils Edvin Richard; Guevara-Carrion, Gabriela; Vrabec, Jadran; Hansen, Niels, 2022, "Supplementary material for 'Predicting and rationalizing the Soret coefficient of binary Lennard-Jones mixtures in the liquid state'", https://doi.org/10.18419/darus-2996, DaRUS, V2
Supplementary material for 'Predicting and rationalizing the Soret coefficient of binary Lennard-Jones mixtures in the liquid state' (N. E. R. Zimmermann, G. Guevara-Carrion, J. Vrabec, N. Hansen, Adv. Theory Simul., 2022) containing scripts, packages, and files to re-create and... |
May 4, 2022
Fleck, Maximilian; Markthaler, Daniel; Stankiewicz, Bartosz; Hansen, Niels, 2022, "Supplementary material for 'Exploring the Effect of Enhanced Sampling on Protein Stability Prediction'", https://doi.org/10.18419/darus-2132, DaRUS, V1, UNF:6:8wyFNcxoOTcKA+4ZpSWLAg== [fileUNF]
Supplementary material for 'Exploring the Effect of Enhanced Sampling on Protein Stability Prediction' containing files to (re-)execute GROMACS simulations performed during the mutation study. This dataset contains simulation input files in GROMACS format accompanying the mention... |
Jul 12, 2021
Kessler, Christopher; Eller, Johannes; Gross, Joachim; Hansen, Niels, 2021, "Supplementary material for 'Adsorption of Light Gases in Covalent Organic Frameworks: Comparison of Classical Density Functional Theory and Grand Canonical Monte Carlo Simulations'", https://doi.org/10.18419/darus-1775, DaRUS, V1, UNF:6:kTnkyWKU1qxxwfkXXMvp8w== [fileUNF]
This dataset contains results from classical Density Functional Theory (DFT) and Grand Canonical Monte Carlo (GCMC) Simulation. We report excellent agreement between the fluid theoretical approach (DFT), which is a more coarse grained approach and stochastic simulation (GCMC) on... |