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Subject: Chemistry Deposit Date: 2021 Subject: Engineering

1 to 7 of 7 Results

Supplementary material for 'Exploring the Effect of Enhanced Sampling on Protein Stability Prediction' May 4, 2022 - Institute of Thermodynamics and Thermal Process Engineering Fleck, Maximilian; Markthaler, Daniel; Stankiewicz, Bartosz; Hansen, Niels, 2022, "Supplementary material for 'Exploring the Effect of Enhanced Sampling on Protein Stability Prediction'", https://doi.org/10.18419/darus-2132, DaRUS, V1, UNF:6:8wyFNcxoOTcKA+4ZpSWLAg== [fileUNF] Supplementary material for 'Exploring the Effect of Enhanced Sampling on Protein Stability Prediction' containing files to (re-)execute GROMACS simulations performed during the mutation study. This dataset contains simulation input files in GROMACS format accompanying the mention...
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...
Sample Properties, Evaporation Data, and Pressure Measurements of MgSO4 Crusts on F32 Quartz Sand From 0.96 mol/L, 0.64 mol/L, and 0.32 mol/L Initial Concentration Oct 8, 2021 - C05: Process-dependent porosity-permeability relations for fluid-solid reactions in porous media Piotrowski, Joseph; Huisman, Johan Alexander, 2021, "Sample Properties, Evaporation Data, and Pressure Measurements of MgSO4 Crusts on F32 Quartz Sand From 0.96 mol/L, 0.64 mol/L, and 0.32 mol/L Initial Concentration", https://doi.org/10.18419/darus-1861, DaRUS, V2, UNF:6:xYGrTts04RzpxXSLpfQHTA== [fileUNF] The dataset contains data from evaporation of magnesium sulfate solution with an initial concentration of 0.96 mol/L, 0.64 mol/L, and 0.32 mol/L from F32 quartz sand. Additionally, pressure measurement of the separated and dried crusts from 40%, 30%, and 20(25)% saturation inside...
Measuring the viscoelastic properties and curing characterstics of Vertecem V+ bone cement using oscillatory rheometer Jun 23, 2021 - Rheological characterisation Trivedi, Zubin, 2021, "Measuring the viscoelastic properties and curing characterstics of Vertecem V+ bone cement using oscillatory rheometer", https://doi.org/10.18419/darus-2032, DaRUS, V1, UNF:6:/4Hsn/UYH9QPsLRp8mLktg== [fileUNF] A commercially available bone cement (Vertecem V+) is subjected to an oscillometric test using a parallel plate rheomter in order to characterise its viscoelastic properties. For this, a small amount of bone cement is placed between the plates of the rheometer and subjected to os...
Humidity and thermal triggered Shape Memory Effect - Rheology-based numerical modelling - Thermal Humid Mechanical Cycle Jun 22, 2021 - Publication: Humidity and thermal triggered Shape Memory Effect - Rheology-based numerical modelling Fauser, Dominik; Steeb, Holger, 2021, "Humidity and thermal triggered Shape Memory Effect - Rheology-based numerical modelling - Thermal Humid Mechanical Cycle", https://doi.org/10.18419/darus-2023, DaRUS, V1, UNF:6:kJCrJ2myXSEklpfIfr7AfQ== [fileUNF] This data contains a Thermal Humid Mechanical Cycle (THMC) of Shape Memory Polymers (SMP). The SMP is a polyurethane-based Polymer, which is produced from SMP Technologies Inc. The SMP filament were processed with a 3D printer (Ultimaker 3, Ultimaker, Geldermarsen, Netherlands)....
Humidity and thermal triggered Shape Memory Effect - Rheology-based numerical modelling - Dynamic Mechanical Thermal Humidity Analysis Jun 22, 2021 - Publication: Humidity and thermal triggered Shape Memory Effect - Rheology-based numerical modelling Fauser, Dominik; Steeb, Holger, 2021, "Humidity and thermal triggered Shape Memory Effect - Rheology-based numerical modelling - Dynamic Mechanical Thermal Humidity Analysis", https://doi.org/10.18419/darus-2021, DaRUS, V1, UNF:6:YC87IXxORCLw3+woYmYT3A== [fileUNF] This data contains iso-thermal and iso-humid shear frequency-sweep measurements of Shape Memory Polymers (SMP). The SMP is a polyurethane-based Polymer, which is produced from SMP Technologies Inc. The SMP filament were processed with a 3D printer (Ultimaker 3, Ultimaker, Gelderm...
Humidity and thermal triggered Shape Memory Effect - Rheology-based numerical modelling - Diffusion measurements Jun 22, 2021 - Publication: Humidity and thermal triggered Shape Memory Effect - Rheology-based numerical modelling Fauser, Dominik; Kuhn, Moritz; Steeb, Holger, 2021, "Humidity and thermal triggered Shape Memory Effect - Rheology-based numerical modelling - Diffusion measurements", https://doi.org/10.18419/darus-2024, DaRUS, V1, UNF:6:ig+5CuLNRHaoCQtncwbvWA== [fileUNF] This data contains diffusion measurements of Shape Memory Polymers (SMP) immersed in demineralized water. The SMP is a polyurethane-based Polymer, which is produced from SMP Technologies Inc. The SMP filament were processed with a 3D printer (Ultimaker 3, Ultimaker, Geldermarsen,...

Supplementary material for 'Exploring the Effect of Enhanced Sampling on Protein Stability Prediction'

May 4, 2022 - Institute of Thermodynamics and Thermal Process Engineering

Fleck, Maximilian; Markthaler, Daniel; Stankiewicz, Bartosz; Hansen, Niels, 2022, "Supplementary material for 'Exploring the Effect of Enhanced Sampling on Protein Stability Prediction'", https://doi.org/10.18419/darus-2132, DaRUS, V1, UNF:6:8wyFNcxoOTcKA+4ZpSWLAg== [fileUNF]

Supplementary material for 'Exploring the Effect of Enhanced Sampling on Protein Stability Prediction' containing files to (re-)execute GROMACS simulations performed during the mutation study. This dataset contains simulation input files in GROMACS format accompanying the mention...

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...

Sample Properties, Evaporation Data, and Pressure Measurements of MgSO4 Crusts on F32 Quartz Sand From 0.96 mol/L, 0.64 mol/L, and 0.32 mol/L Initial Concentration

Oct 8, 2021 - C05: Process-dependent porosity-permeability relations for fluid-solid reactions in porous media

Piotrowski, Joseph; Huisman, Johan Alexander, 2021, "Sample Properties, Evaporation Data, and Pressure Measurements of MgSO4 Crusts on F32 Quartz Sand From 0.96 mol/L, 0.64 mol/L, and 0.32 mol/L Initial Concentration", https://doi.org/10.18419/darus-1861, DaRUS, V2, UNF:6:xYGrTts04RzpxXSLpfQHTA== [fileUNF]

The dataset contains data from evaporation of magnesium sulfate solution with an initial concentration of 0.96 mol/L, 0.64 mol/L, and 0.32 mol/L from F32 quartz sand. Additionally, pressure measurement of the separated and dried crusts from 40%, 30%, and 20(25)% saturation inside...

Measuring the viscoelastic properties and curing characterstics of Vertecem V+ bone cement using oscillatory rheometer

Jun 23, 2021 - Rheological characterisation

Trivedi, Zubin, 2021, "Measuring the viscoelastic properties and curing characterstics of Vertecem V+ bone cement using oscillatory rheometer", https://doi.org/10.18419/darus-2032, DaRUS, V1, UNF:6:/4Hsn/UYH9QPsLRp8mLktg== [fileUNF]

A commercially available bone cement (Vertecem V+) is subjected to an oscillometric test using a parallel plate rheomter in order to characterise its viscoelastic properties. For this, a small amount of bone cement is placed between the plates of the rheometer and subjected to os...

Humidity and thermal triggered Shape Memory Effect - Rheology-based numerical modelling - Thermal Humid Mechanical Cycle

Jun 22, 2021 - Publication: Humidity and thermal triggered Shape Memory Effect - Rheology-based numerical modelling

Fauser, Dominik; Steeb, Holger, 2021, "Humidity and thermal triggered Shape Memory Effect - Rheology-based numerical modelling - Thermal Humid Mechanical Cycle", https://doi.org/10.18419/darus-2023, DaRUS, V1, UNF:6:kJCrJ2myXSEklpfIfr7AfQ== [fileUNF]

This data contains a Thermal Humid Mechanical Cycle (THMC) of Shape Memory Polymers (SMP). The SMP is a polyurethane-based Polymer, which is produced from SMP Technologies Inc. The SMP filament were processed with a 3D printer (Ultimaker 3, Ultimaker, Geldermarsen, Netherlands)....

Humidity and thermal triggered Shape Memory Effect - Rheology-based numerical modelling - Dynamic Mechanical Thermal Humidity Analysis

Jun 22, 2021 - Publication: Humidity and thermal triggered Shape Memory Effect - Rheology-based numerical modelling

Fauser, Dominik; Steeb, Holger, 2021, "Humidity and thermal triggered Shape Memory Effect - Rheology-based numerical modelling - Dynamic Mechanical Thermal Humidity Analysis", https://doi.org/10.18419/darus-2021, DaRUS, V1, UNF:6:YC87IXxORCLw3+woYmYT3A== [fileUNF]

This data contains iso-thermal and iso-humid shear frequency-sweep measurements of Shape Memory Polymers (SMP). The SMP is a polyurethane-based Polymer, which is produced from SMP Technologies Inc. The SMP filament were processed with a 3D printer (Ultimaker 3, Ultimaker, Gelderm...

Humidity and thermal triggered Shape Memory Effect - Rheology-based numerical modelling - Diffusion measurements

Jun 22, 2021 - Publication: Humidity and thermal triggered Shape Memory Effect - Rheology-based numerical modelling

Fauser, Dominik; Kuhn, Moritz; Steeb, Holger, 2021, "Humidity and thermal triggered Shape Memory Effect - Rheology-based numerical modelling - Diffusion measurements", https://doi.org/10.18419/darus-2024, DaRUS, V1, UNF:6:ig+5CuLNRHaoCQtncwbvWA== [fileUNF]

This data contains diffusion measurements of Shape Memory Polymers (SMP) immersed in demineralized water. The SMP is a polyurethane-based Polymer, which is produced from SMP Technologies Inc. The SMP filament were processed with a 3D printer (Ultimaker 3, Ultimaker, Geldermarsen,...

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