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Subject: Earth and Environmental Sciences Publication Year: 2020

1 to 10 of 32 Results

Chair of Continuum Mechanics(University of Stuttgart) Nov 9, 2020Institute of Applied Mechanics (MIB)
Cluster of Excellence Integrative Computational Design and Construction for Architecture (EXC IntCDC)(University of Stuttgart, Max Planck Institute for Intelligent Systems) Oct 30, 2020 The vision of the Cluster of Excellence Integrative Computational Design and Construction for Architecture (EXC IntCDC) is to harness the full potential of digital technologies in order to rethink design, fabrication and construction based on integration and interdisciplinarity,...
Case1 - Single Fracture Sep 2, 2020 - Verification benchmarks for single-phase flow in three-dimensional fractured porous media Gläser, Dennis, 2020, "Case1 - Single Fracture", https://doi.org/10.18419/darus-862, DaRUS, V1, UNF:6:103YE3NiQa3v4NNImuR2yg== [fileUNF] This dataset contains results related to the benchmark case 1 as described in detail in the publication I. Berre, W. Boon, B. Flemisch, A. Fumagalli, D. Gläser, E. Keilegavlen, A. Scotti, I. Stefansson, and A. Tatomir. Call for participation: Verification benchmarks for single-ph...
Verification benchmarks for single-phase flow in three-dimensional fractured porous media(Universität Stuttgart) Aug 19, 2020Benchmarks Contains numerical results related to the benchmark cases defined in the publication: I. Berre, W. Boon, B. Flemisch, A. Fumagalli, D. Gläser, E. Keilegavlen, A. Scotti, I. Stefansson, and A. Tatomir. Call for participation: Verification benchmarks for single-phase flow in three-...
Publication: Experimental Methods and Imaging for Enzymatically Induced Calcite Precipitation in a microfluidic cell(Universität Stuttgart) Aug 11, 2020Enzymatically Induced Calcite Precipitation in microfluidics
Enzymatically Induced Calcite Precipitation in microfluidics(Universität Stuttgart) Aug 11, 2020C04: Pore-scale and REV-scale approaches to biological and chemical pore-space alteration in porous media
C04: Pore-scale and REV-scale approaches to biological and chemical pore-space alteration in porous media(Universität Stuttgart) Aug 11, 2020SFB 1313 "Interface-Driven Multi-Field Processes in Porous Media" Porosity and permeability are two major hydraulic properties that govern flow through porous media. Different kinds of processes can lead to alterations of the pore space which eventually change the hydraulic properties. This project focuses primarily on fluid-solid interfaces th...
Replication data for "Importance of Specific Substrate Utilization by Microbes in Microbially Enhanced Coal-Bed Methane Production: A Modelling Study" Jul 31, 2020 - Emmert2020a Emmert, Simon; Class, Holger; Davis, Katherine; Gerlach, Robin, 2020, "Replication data for "Importance of Specific Substrate Utilization by Microbes in Microbially Enhanced Coal-Bed Methane Production: A Modelling Study"", https://doi.org/10.18419/darus-636, DaRUS, V1, UNF:6:etoZeSymT82caAlH+cVtVA== [fileUNF] This contains the generated DuMuX model output (VTK files), extracted output (Python script) and plots (png) for the publication "Importance of Specific Substrate Utilization by Microbes in Microbially Enhanced Coal-Bed Methane Production: A Modelling Study" in International Jour...
Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System Jul 21, 2020 - PINN Dynamic System Praditia, Timothy, 2020, "Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System", https://doi.org/10.18419/darus-634, DaRUS, V1 This dataset contains four .xlsx files containing trained values of the ANN weights and biases, along with the hyperparameter values at the end of the training (with noisy dataset). These four files correspond to four different regularization methods.
Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic System Jul 21, 2020 - PINN Dynamic System Praditia, Timothy, 2020, "Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic System", https://doi.org/10.18419/darus-633, DaRUS, V1 This dataset contains two .mat files, one pre-processed (direct simulation results) and the other one is with added noise. The simulated problem is a thermochemical energy storage problem using CaO/Ca(OH)2 as the material choice. This dataset is used as input-output data pairs ne...

Chair of Continuum Mechanics(University of Stuttgart)

Nov 9, 2020Institute of Applied Mechanics (MIB)

Cluster of Excellence Integrative Computational Design and Construction for Architecture (EXC IntCDC)(University of Stuttgart, Max Planck Institute for Intelligent Systems)

Oct 30, 2020

The vision of the Cluster of Excellence Integrative Computational Design and Construction for Architecture (EXC IntCDC) is to harness the full potential of digital technologies in order to rethink design, fabrication and construction based on integration and interdisciplinarity,...

Case1 - Single Fracture

Sep 2, 2020 - Verification benchmarks for single-phase flow in three-dimensional fractured porous media

Gläser, Dennis, 2020, "Case1 - Single Fracture", https://doi.org/10.18419/darus-862, DaRUS, V1, UNF:6:103YE3NiQa3v4NNImuR2yg== [fileUNF]

This dataset contains results related to the benchmark case 1 as described in detail in the publication I. Berre, W. Boon, B. Flemisch, A. Fumagalli, D. Gläser, E. Keilegavlen, A. Scotti, I. Stefansson, and A. Tatomir. Call for participation: Verification benchmarks for single-ph...

Verification benchmarks for single-phase flow in three-dimensional fractured porous media(Universität Stuttgart)

Aug 19, 2020Benchmarks

Contains numerical results related to the benchmark cases defined in the publication: I. Berre, W. Boon, B. Flemisch, A. Fumagalli, D. Gläser, E. Keilegavlen, A. Scotti, I. Stefansson, and A. Tatomir. Call for participation: Verification benchmarks for single-phase flow in three-...

Publication: Experimental Methods and Imaging for Enzymatically Induced Calcite Precipitation in a microfluidic cell(Universität Stuttgart)

Aug 11, 2020Enzymatically Induced Calcite Precipitation in microfluidics

Enzymatically Induced Calcite Precipitation in microfluidics(Universität Stuttgart)

Aug 11, 2020C04: Pore-scale and REV-scale approaches to biological and chemical pore-space alteration in porous media

C04: Pore-scale and REV-scale approaches to biological and chemical pore-space alteration in porous media(Universität Stuttgart)

Aug 11, 2020SFB 1313 "Interface-Driven Multi-Field Processes in Porous Media"

Porosity and permeability are two major hydraulic properties that govern flow through porous media. Different kinds of processes can lead to alterations of the pore space which eventually change the hydraulic properties. This project focuses primarily on fluid-solid interfaces th...

Replication data for "Importance of Specific Substrate Utilization by Microbes in Microbially Enhanced Coal-Bed Methane Production: A Modelling Study"

Jul 31, 2020 - Emmert2020a

Emmert, Simon; Class, Holger; Davis, Katherine; Gerlach, Robin, 2020, "Replication data for "Importance of Specific Substrate Utilization by Microbes in Microbially Enhanced Coal-Bed Methane Production: A Modelling Study"", https://doi.org/10.18419/darus-636, DaRUS, V1, UNF:6:etoZeSymT82caAlH+cVtVA== [fileUNF]

This contains the generated DuMuX model output (VTK files), extracted output (Python script) and plots (png) for the publication "Importance of Specific Substrate Utilization by Microbes in Microbially Enhanced Coal-Bed Methane Production: A Modelling Study" in International Jour...

Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System

Jul 21, 2020 - PINN Dynamic System

Praditia, Timothy, 2020, "Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System", https://doi.org/10.18419/darus-634, DaRUS, V1

This dataset contains four .xlsx files containing trained values of the ANN weights and biases, along with the hyperparameter values at the end of the training (with noisy dataset). These four files correspond to four different regularization methods.

Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic System

Jul 21, 2020 - PINN Dynamic System

Praditia, Timothy, 2020, "Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic System", https://doi.org/10.18419/darus-633, DaRUS, V1

This dataset contains two .mat files, one pre-processed (direct simulation results) and the other one is with added noise. The simulated problem is a thermochemical energy storage problem using CaO/Ca(OH)2 as the material choice. This dataset is used as input-output data pairs ne...

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