SFB 1333 "Molecular heterogeneous catalysis in confined geometries"

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Author Affiliation: Universität Stuttgart Subject: Physics

1 to 8 of 8 Results

Replication Data for: Solvent Effects on Structure and Screening in Confined Electrolytes Oct 19, 2023 - SFB 1333 A3 - Schlaich group, ICP 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...
Replication Data for: A screening of results on the decay length in concentrated electrolytes Jul 19, 2023 - SFB 1333 A3 - Schlaich group, ICP Jäger, Henrik, 2023, "Replication Data for: A screening of results on the decay length in concentrated electrolytes", https://doi.org/10.18419/darus-3551, DaRUS, V1 This is the repository holding the inputs for atomistic Molecular Dynamics Simulations of nano-confined mica slabs as well as the outputs for cDFT calculations. Also, scripts for input generation and all analysis tools used are See the README file for more information.
Supplementary Material for 'Entropic barrier of water permeation through single-file channels' 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...
Data for: Performance of two complementary machine-learned potentials in modelling chemically complex systems 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...
Supplementary material for 'Influence of Layer Slipping on Adsorption of Light Gases in Covalent Organic Frameworks: A Combined Experimental and Computational Study' 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...
Supplementary material for 'Adsorption of Light Gases in Covalent Organic Frameworks: Comparison of Classical Density Functional Theory and Grand Canonical Monte Carlo Simulations' 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...
Data for: "Towards Highly Conducting Bicarbazole Redoxpolymer Films with Plateau-like Conductivities" May 5, 2021 - SFB 1333 A2 - Ludwigs group, IPOC-FP 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...
Supplementary material for 'Prediction of Adsorption Isotherms and Selectivities: Comparison between Classical Density Functional Theory Based on the Perturbed-Chain Statistical Associating Fluid Theory Equation of State and Ideal Adsorbed Solution Theory' Mar 29, 2021 - Institute of Thermodynamics and Thermal Process Engineering Sauer, Elmar; Gross, Joachim, 2021, "Supplementary material for 'Prediction of Adsorption Isotherms and Selectivities: Comparison between Classical Density Functional Theory Based on the Perturbed-Chain Statistical Associating Fluid Theory Equation of State and Ideal Adsorbed Solution Theory'", https://doi.org/10.18419/darus-1643, DaRUS, V1 This dataset contains simulation results in ASCII format accompanying the mentioned publication. The filename is structured in the following kind: Number of the figure in which the data is shown, method of simulation (TMMC Transition Matrix Monte Carlo, DFT Density Functional The...

Replication Data for: Solvent Effects on Structure and Screening in Confined Electrolytes

Oct 19, 2023 - SFB 1333 A3 - Schlaich group, ICP

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...

Replication Data for: A screening of results on the decay length in concentrated electrolytes

Jul 19, 2023 - SFB 1333 A3 - Schlaich group, ICP

Jäger, Henrik, 2023, "Replication Data for: A screening of results on the decay length in concentrated electrolytes", https://doi.org/10.18419/darus-3551, DaRUS, V1

This is the repository holding the inputs for atomistic Molecular Dynamics Simulations of nano-confined mica slabs as well as the outputs for cDFT calculations. Also, scripts for input generation and all analysis tools used are See the README file for more information.

Supplementary Material for 'Entropic barrier of water permeation through single-file channels'

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...

Data for: Performance of two complementary machine-learned potentials in modelling chemically complex systems

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...

Supplementary material for 'Influence of Layer Slipping on Adsorption of Light Gases in Covalent Organic Frameworks: A Combined Experimental and Computational Study'

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...

Supplementary material for 'Adsorption of Light Gases in Covalent Organic Frameworks: Comparison of Classical Density Functional Theory and Grand Canonical Monte Carlo Simulations'

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...

Data for: "Towards Highly Conducting Bicarbazole Redoxpolymer Films with Plateau-like Conductivities"

May 5, 2021 - SFB 1333 A2 - Ludwigs group, IPOC-FP

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...

Supplementary material for 'Prediction of Adsorption Isotherms and Selectivities: Comparison between Classical Density Functional Theory Based on the Perturbed-Chain Statistical Associating Fluid Theory Equation of State and Ideal Adsorbed Solution Theory'

Mar 29, 2021 - Institute of Thermodynamics and Thermal Process Engineering

Sauer, Elmar; Gross, Joachim, 2021, "Supplementary material for 'Prediction of Adsorption Isotherms and Selectivities: Comparison between Classical Density Functional Theory Based on the Perturbed-Chain Statistical Associating Fluid Theory Equation of State and Ideal Adsorbed Solution Theory'", https://doi.org/10.18419/darus-1643, DaRUS, V1

This dataset contains simulation results in ASCII format accompanying the mentioned publication. The filename is structured in the following kind: Number of the figure in which the data is shown, method of simulation (TMMC Transition Matrix Monte Carlo, DFT Density Functional The...

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