1 to 10 of 15 Results
Feb 14, 2025 - Institute of Thermodynamics and Thermal Process Engineering
Spera, Marcelle; Darouich, Samir; Pleiss, Jürgen; Hansen, Niels, 2025, "Supplementary material for "Influence of water content on thermophysical properties of aqueous glyceline solutions predicted by molecular dynamics simulations"", https://doi.org/10.18419/DARUS-4483, DaRUS, V1
This dataset contains force field files in GROMACS format accompanying the mentioned publication. The topology file is given for one specific composition and can be adapted by changing the number of molecules in the '[ molecules ]' block. The numerical data of all calculated ther... |
Jan 16, 2025 - Institute of Thermodynamics and Thermal Process Engineering
Högler, Marc; Kobayashi, Takeshi; Kraus, Hamzeh; Atwi, Boshra; Buchmeiser, Michael; Fyta, Maria; Hansen, Niels, 2025, "Supplementary material for "Influence of Ionic Liquid Film Thickness and Flow Rate on Macrocyclization Efficiency and Selectivity in Supported Ionic Liquid-Liquid Phase Catalysis"", https://doi.org/10.18419/DARUS-4063, DaRUS, V1
This dataset contains simulation input files in GROMACS format accompanying the mentioned publication as well as GC-MS and NMR data. We recommend viewing the data by choosing the option "tree". |
Nov 4, 2024 - Institute of Thermodynamics and Thermal Process Engineering
Högler, Marc; Hansen, Niels, 2024, "Supplementary material for "The Effects of Surfaces and Confinement on Formic Acid Dehydrogenation Catalyzed by an Immobilized Ru-H Complex: Insights from Molecular Simulation and Neutron Scattering"", https://doi.org/10.18419/DARUS-3584, DaRUS, V1, UNF:6:UUPJqhG8eXR2naMF0KSYGQ== [fileUNF]
This dataset contains simulation input files in GROMACS format accompanying the mentioned publication. Structure, topology, and simulation parameter-files (directory mdp) are provided for bulk simulations of pure dioxane and formic acid as well as mixture of both in pore and bulk... |
Jul 8, 2024 - Institute of Thermodynamics and Thermal Process Engineering
Grunenberg, Lars; Kessler, Christopher; Teh, Tiong Wei; Schuldt, Robin; Heck, Fabian; Kästner, Johannes; Gross, Joachim; Hansen, Niels; Lotsch, Bettina V., 2024, "Supplementary material for 'Probing Self-Diffusion of Guest Molecules in a Covalent Organic Framework: Simulation and Experiment'", https://doi.org/10.18419/DARUS-3269, DaRUS, V1, UNF:6:vHsUiLwzEUUMiOsYM8xu+Q== [fileUNF]
This dataset contains input files and results from Grand Canonical Monte Carlo (GCMC) adsorption simulation and Molecular Dynamics (MD) Simulation. All data is presented in a jupyter notebook and for a fast overview without executing the notebook also as PDF-file. Furthermore the... |
Sep 21, 2023 - Molecular Simulation
Kraus, Hamzeh; Högler, Marc; Hansen, Niels, 2023, "Supplementary material for 'Axial Diffusion in Liquid-Saturated Cylindrical Silica Pore Models'", https://doi.org/10.18419/DARUS-3067, DaRUS, V1
This dataset contains simulation input files in GROMACS format accompanying the mentioned publication. Structure, topology, and simulation parameter files are provided for bulk phase simulations as well as for pore simulations with 14 different compounds. The pore simulations are... |
Apr 26, 2022 - Institute of Thermodynamics and Thermal Process Engineering
Kessler, Christopher; Schuldt, Robin; Emmerling, Sebastian; Lotsch, Bettina; Kästner, Johannes; Gross, Joachim; Hansen, Niels, 2022, "Supplementary material for 'Influence of Layer Slipping on Adsorption of Light Gases in Covalent Organic Frameworks: A Combined Experimental and Computational Study'", https://doi.org/10.18419/DARUS-2308, DaRUS, V1, UNF:6:ifmtNZEZHi+MkSvB5rd1dw== [fileUNF]
This dataset contains results from Grand Canonical Monte Carlo (GCMC) Simulation (data/isotherms_sim/) and experiment (data/isotherms/exp). All Data is presented in a jupyter notebook and for a fast overview without executing the notebook also as pdf-file. Furthermore the dataset... |
Mar 9, 2022 - Molecular Simulation
Kraus, Hamzeh; Hansen, Niels, 2022, "Supplementary material for 'An atomistic view on the uptake of aromatic compounds by cyclodextrin immobilized on mesoporous silica'", https://doi.org/10.18419/DARUS-2154, DaRUS, V1
This dataset contains simulation input files in GROMACS format accompanying the mentioned publication. Structure, topology, and simulation parameter files are provided for all simulations conducted within the paper. The simulation is divided into three steps, an energy-minimizati... |
Jan 11, 2022 - Molecular Simulation
Kraus, Hamzeh; Rybka, Julia; Hansen, Niels, 2022, "Supplementary material for 'Computational study of confinement effects in molecular heterogeneous catalysis'", https://doi.org/10.18419/DARUS-488, DaRUS, V1
This dataset contains simulation input files in GROMACS format accompanying the mentioned publication. Structure, topology and simulation parameter-files are provided for six simulations - two pore sizes of 9nm and 6nm, each with simulations of pure substrate, pure product and a... |
Sep 14, 2021 - Molecular Simulation
Kraus, Hamzeh; Hansen, Niels, 2021, "Supplementary material for 'Confinement Effects for Efficient Macrocyclization Reactions with Supported Cationic Molybdenum Imido Alkylidene N‑Heterocyclic Carbene Complexes'", https://doi.org/10.18419/DARUS-1752, DaRUS, V1
This dataset contains simulation input files in GROMACS format accompanying the mentioned publication. Structure, topology, and simulation parameter-files (directory Mdp) are provided for four simulations - a 2.5 nm pore with one catalyst molecule, a 2.5 nm pore with two catalyst... |
Jul 12, 2021 - Institute of Thermodynamics and Thermal Process Engineering
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... |