1 to 10 of 11 Results
Dec 22, 2023 - SFB 1333 C6 - Holm group, ICP
Tischler, Ingo; Schlaich, Alexander; Holm, Christian, 2023, "Replication data of C6 group for: "Disentanglement of surface and confinement effects for diene metathesis in mesoporous confinement"", https://doi.org/10.18419/darus-3642, DaRUS, V1
The simulation scripts and the simulation data of the journal article mentioned under related publications from C6 group can be found here. The data is structured according to figures and schemes in the research article and contains the following data types: compressed (tar) text... |
Yang, Jie; Kondrat, Svyatoslav; Lian, Cheng; Liu, Honglai; Schlaich, Alexander; Holm, Christian, 2023, "Replication Data for: Solvent Effects on Structure and Screening in Confined Electrolytes", https://doi.org/10.18419/darus-3743, DaRUS, V1, UNF:6:KtlgApor9/WXUtTKp63TBw== [fileUNF]
This is the repository holding the data and python scripts we used for creating the corresponding figures in the publication. Tabular files include the ion and solvent (for solvent-explicit simulations) densiies for a hard-sphere primitive electrolyte model confined between two c... |
Jun 30, 2023 - PN 3-11
Wachlmayr, Johann; Fläschner, Gotthold; Pluhackova, Kristyna; Sandtner, Walter; Siligan, Christine; Horner, Andreas, 2023, "Supplementary Material for 'Entropic barrier of water permeation through single-file channels'", https://doi.org/10.18419/darus-3390, DaRUS, V1
Facilitated water permeation through narrow biological channels is fundamental for all forms of life. This process involves dehydration of bulk water entering the single-file region and hydrogen bond formation with channel lining amino acid residues. Despite its significance in h... |
May 26, 2023 - Materials Design
Gubaev, Konstantin; Zaverkin, Viktor; Srinivasan, Prashanth; Duff, Andrew; Kästner, Johannes; Grabowski, Blazej, 2023, "Data for: Performance of two complementary machine-learned potentials in modelling chemically complex systems", https://doi.org/10.18419/darus-3516, DaRUS, V1
Data for the publication "Performance of two complementary machine-learned potentials in modelling chemically complex systems", npj. Comp. Mat. This data set contains the datasets of structures in cfg and npz formats INCAR file which was used for VASP calculations python script f... |
Jun 9, 2022 - SFB 1333 A4 - Bruckner group
Giess, Torsten; Itzigehl, Selina; Range, Jan Peter; Bruckner, Johanna R.; Pleiss, Jürgen, 2022, "Data for: FAIR and scalable management of small-angle X-ray scattering data", https://doi.org/10.18419/darus-2842, DaRUS, V1
This dataset contains small-angle X-ray scattering (SAXS) measurements on various octyltrimethylammonium bromide (OTAB)/water and octyltrimethylammonium chloride (OTAC)/water mixtures at different mass fractions and temperatures, as well as analysis and visualization data thereof... |
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... |
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... |
Bruckner, Johanna R.; Beurer, Ann-Katrin, 2021, "Replication data of Gießelmann/Bruckner group for: "Mechanisms and Intermediates in the True Liquid Crystal Templating Synthesis of Mesoporous Silica Materials"", https://doi.org/10.18419/darus-1826, DaRUS, V1
All primary data files of measurements and processed data of the associated journal article can be found here. Raw data from physisorption measurements can be found in the dataset of the Traa group. The data is structured according to experiment type and the material investigated... |
Malacrida, Claudia, 2021, "Data for: "Towards Highly Conducting Bicarbazole Redoxpolymer Films with Plateau-like Conductivities"", https://doi.org/10.18419/darus-1418, DaRUS, V1, UNF:6:Ebm2wQEvxBy8vaBQ9pPnuQ== [fileUNF]
The dataset for this publication explains conductivity dependency on doping levels achieved by chemical or electrochemical doping on crosslinkable Carbazole or Triarylamine units presenting Structure Property Relationships. Conductivities are measured via 4-point probe and electr... |
Apr 29, 2021 - Molecular Simulation
Kobayashi, Takeshi; Kraus, Hamzeh; Hansen, Niels; Fyta, Maria, 2021, "Supplementary material for 'Confined Ru‐catalysts in a Two‐phase Heptane/Ionic Liquid Solution: Modeling Aspects'", https://doi.org/10.18419/darus-1138, DaRUS, V1
This dataset contains simulation input files in GROMACS format accompanying the mentioned publication. Structure, topology, and simulation parameter-files are provided for the simulations discussed in the paper. The data of the final NVT production simulation run are stored for t... |
