Institute of Thermodynamics and Thermal Process Engineering

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21 to 26 of 26 Results

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 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 Theory), adsorbate(s), temperature, poregeometry (cylindrical pore or sli...
Supplementary material for 'PoreMS: A software tool for generating silica pore models with user-defined surface functionalisation and pore dimensions' Feb 10, 2021 - Molecular Simulation Kraus, Hamzeh, 2021, "Supplementary material for 'PoreMS: A software tool for generating silica pore models with user-defined surface functionalisation and pore dimensions'", https://doi.org/10.18419/DARUS-1170, DaRUS, V1 This dataset contains Jupiter Notebooks and the necessary structure files needed for generating the pore systems discussed in the related publication. Additionally, high-resolution figures discussed in the paper are added.
Supplementary material for 'Olefin metathesis in confined geometries: a biomimetic approach towards selective macrocyclization' Mar 20, 2020 - Molecular Simulation Kraus, Hamzeh; Rybka, Julia, 2019, "Supplementary material for 'Olefin metathesis in confined geometries: a biomimetic approach towards selective macrocyclization'", https://doi.org/10.18419/DARUS-477, DaRUS, V2 This dataset contains simulation input files in GROMACS format accompanying the mentioned publication. Structure, topology and simulation parameter-files are provided for two simulations - an unmodified pore with a silanol surface and a modified pore with an unpolar DMDMS surface. Furthermore each pore has two catalytic centers placed point-symmetr...
Molecular Simulation(Universität Stuttgart) Oct 15, 2019 Dataverse concerning Molecular simulation studies.
Evaluation Research for Study Success Requirements ITT 2014/15 Oct 2, 2019 - Educational Research Braun, Thorsten, 2019, "Evaluation Research for Study Success Requirements ITT 2014/15", https://doi.org/10.18419/DARUS-470, DaRUS, V1, UNF:6:IB3adVcIN2EavaLCev7Izw== [fileUNF] This dataset contains raw data variables gathered during an educational research project for the Institute of Thermodynamics and Thermal Process Engineering (ITT) at the University of Stuttgart, 2014 until 2015. The project focused on requirements of study success and collected a variety of data on the student cohort in winter 2014 and summer 2015....
Educational Research(Universität Stuttgart) Sep 23, 2019 Research data on teaching and learning at the ITT.

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

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 Theory), adsorbate(s), temperature, poregeometry (cylindrical pore or sli...

Supplementary material for 'PoreMS: A software tool for generating silica pore models with user-defined surface functionalisation and pore dimensions'

Feb 10, 2021 - Molecular Simulation

Kraus, Hamzeh, 2021, "Supplementary material for 'PoreMS: A software tool for generating silica pore models with user-defined surface functionalisation and pore dimensions'", https://doi.org/10.18419/DARUS-1170, DaRUS, V1

This dataset contains Jupiter Notebooks and the necessary structure files needed for generating the pore systems discussed in the related publication. Additionally, high-resolution figures discussed in the paper are added.

Supplementary material for 'Olefin metathesis in confined geometries: a biomimetic approach towards selective macrocyclization'

Mar 20, 2020 - Molecular Simulation

Kraus, Hamzeh; Rybka, Julia, 2019, "Supplementary material for 'Olefin metathesis in confined geometries: a biomimetic approach towards selective macrocyclization'", https://doi.org/10.18419/DARUS-477, DaRUS, V2

This dataset contains simulation input files in GROMACS format accompanying the mentioned publication. Structure, topology and simulation parameter-files are provided for two simulations - an unmodified pore with a silanol surface and a modified pore with an unpolar DMDMS surface. Furthermore each pore has two catalytic centers placed point-symmetr...

Molecular Simulation(Universität Stuttgart)

Oct 15, 2019

Dataverse concerning Molecular simulation studies.

Evaluation Research for Study Success Requirements ITT 2014/15

Oct 2, 2019 - Educational Research

Braun, Thorsten, 2019, "Evaluation Research for Study Success Requirements ITT 2014/15", https://doi.org/10.18419/DARUS-470, DaRUS, V1, UNF:6:IB3adVcIN2EavaLCev7Izw== [fileUNF]

This dataset contains raw data variables gathered during an educational research project for the Institute of Thermodynamics and Thermal Process Engineering (ITT) at the University of Stuttgart, 2014 until 2015. The project focused on requirements of study success and collected a variety of data on the student cohort in winter 2014 and summer 2015....

Educational Research(Universität Stuttgart)

Sep 23, 2019

Research data on teaching and learning at the ITT.

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