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1 to 8 of 8 Results
Mar 1, 2024 - A01: Molecular detail in fluid simulations: Density Functional Theory within component and momentum balances
Bursik, Benjamin; Eller, Johannes; Gross, Joachim, 2024, "Supporting Information: Notebooks, Solute Configurations and Solvation Free Energy Data", https://doi.org/10.18419/darus-3756, DaRUS, V1, UNF:6:0QTV2eSt2s5RktyiTCTmAg== [fileUNF]
This dataset contains three types of data: 1) Jupyter notebooks (.ipynb) for the calculation of solvation free energies and for the recreation of all figures in the publication; 2) Gromacs files containing the solute and solvent topology (.gro, .itp, .top), the trajectories (.trr...
Dec 14, 2023 - Materials Design
Jung, Jong Hyun; Forslund, Axel; Srinivasan, Prashanth; Grabowski, Blazej, 2023, "Data for: Dynamically stabilized phases with full ab initio accuracy: Thermodynamics of Ti, Zr, Hf with a focus on the hcp-bcc transition", https://doi.org/10.18419/darus-3582, DaRUS, V1, UNF:6:PcXLVWUQ0T4geRQy0F0sgg== [fileUNF]
Data for the publication, Dynamically stabilized phases with full ab initio accuracy: Thermodynamics of Ti, Zr, Hf with a focus on the hcp-bcc transition, Phys. Rev. B 108, 184107 (2023). This data set contains 1) - the training sets (VASP files), - the low moment-tensor-potentia...
Oct 31, 2023 - SFB 1333 C4 - Kästner group, ITheoC
Gugeler, Katrin; Kästner, Johannes, 2023, "Replication data of Kästner group for: "Tethering chiral Rh diene complexes inside mesoporous solids: experimental and theoretical study of substituent, pore and linker effects on asymmetric catalysis"", https://doi.org/10.18419/darus-3561, DaRUS, V1
In this dataset, all simulation data are listed. That includes all geometry optimizations and single-point calculations and files from the conformational sampling. Furthermore, the spreadsheet with the collected data and the figures with the visualizations of the structures are l...
Oct 19, 2023 - SFB 1333 C4 - Kästner group, ITheoC
Klostermann, Sina; Kästner, Johannes, 2023, "Replication data of Kästner group for: "How Solid Surfaces Control Stability and Interactions of Supported Cationic Cu^I(dppf) Complexes - A Solid-State NMR Study"", https://doi.org/10.18419/darus-3668, DaRUS, V1
In this dataset, all simulation data are listed. That includes all geometry optimizations and single-point calculations and solid-state NMR calculations. The folders with the data are named similar to the nomenclature in the publication. All structures are named "*.xyz" and the i...
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...
May 12, 2023 - Materials Design
Forslund, Axel; Jung, Jong Hyun; Srinivasan, Prashanth; Grabowski, Blazej, 2023, "Data for: Thermodynamic properties on the homologous temperature scale from direct upsampling: Understanding electron-vibration coupling and thermal vacancies in bcc refractory metals", https://doi.org/10.18419/darus-3339, DaRUS, V1
Data for the publication Thermodynamic properties on the homologous temperature scale from direct upsampling: Understanding electron-vibration coupling and thermal vacancies in bcc refractory metals, Phys. Rev. B 107, 174309 (2023). This data set contains - the training sets (VAS...
Jan 11, 2023 - Materials Design
Jung, Jong Hyun; Srinivasan, Prashanth; Forslund, Axel; Grabowski, Blazej, 2023, "Data for: High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials", https://doi.org/10.18419/darus-3239, DaRUS, V1
Data for the publication High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials, npj Comput. Mater., DOI: 10.1038/s41524-022-00956-8 (2023) This data set contains - the training sets (VASP files), - the low mom...
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...
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