TUdatalib : Recently added

CRC 1194 guideline on linking research data with publications

Maric, Tomislav; Lambie, Benjamin; Bothe, Dieter; Bischof, Christian (2021-10-11)

Inconsistencies in Unstructured Volume-of-Fluid Methods for Two-Phase Flows with High Density Ratios - Data

Maric, Tomislav; Liu, Jun (2023-11-22)

Interfacial relaxation - Crucial for phase-field methods to capture low to high energy drop-film impacts: Benchmark data

Bagheri, Milad; Stumpf, Bastian; Roisman, Ilia; Tropea, Cameron; Hussong, Jeanette; Marschall, Holger; Wörner, Martin (2021-12-01)

Efficiently combining Machine Learning with OpenFOAM using SmartSim - Slides

Maric, Tomislav; Shao, Andrew, Edward; Rigazzi, Alessandro; Ellis, Matt; Fadeli, Mohammed, Elwardi; Weiner, Andre (2023-07-28)

Asymmetry during fast stretching of a liquid bridge - simulation case setup

Asghar, Muhammad Hassan; Brockmann, Philipp; Dong, Xulan; Niethammer, Matthias; Marić, Tomislav; Roisman, Ilia; Bothe, Dieter (2023-07-06)

Asymmetry during fast stretching of a liquid bridge - research data

Asghar, Muhammad Hassan; Brockmann, Philipp; Dong, Xulan; Niethammer, Matthias; Marić, Tomislav; Roisman, Ilia; Bothe, Dieter (2023-07-06)

Numerical Wetting Benchmarks - Advancing the plicRDF-isoAdvector unstructured Volume-of-Fluid (VOF) method using height-function curvature model- Jupyter Notebooks, CSV files, Secondary Data, Parameter variation file

Asghar, Muhammad Hassan; Fricke, Mathis; Bothe, Dieter; Marić, Tomislav (2023-02-02)

Analysis of convolutional neural network image classifiers in a hierarchical max-pooling model with additional local pooling: Implementations of the estimates and links to image data sets

Walter, Benjamin (2023-05-27)

Analysis of convolutional neural network image classifiers in a rotationally symmetric model: Implementations of the estimates and links to image data sets

Kohler, Michael; Walter, Benjamin (2023-05-27)

On the rate of convergence of image classifiers based on convolutional neural networks: Implementations of the estimates and links to image data sets

Kohler, Michael; Krzyżak, Adam; Walter, Benjamin (2023-05-24)

Numerical Wetting Benchmarks - Advancing the plicRDF-isoAdvector unstructured Volume-of-Fluid (VOF) method using the RDF curvature model- Jupyter Notebooks, CSV files, Secondary Data, Parameter variation file

Asghar, Muhammad Hassan; Fricke, Mathis; Bothe, Dieter; Marić, Tomislav (2023-02-02)

A collocated unstructured finite volume Level Set / Front Trackingmethod for two-phase flows with large density-ratios - data

Maric, Tomislav; Tolle, Tobias; Liu, Jun (2021-09-03)

04 Fachbereich Mathematik: Recent submissions

CRC 1194 guideline on linking research data with publications

Inconsistencies in Unstructured Volume-of-Fluid Methods for Two-Phase Flows with High Density Ratios - Data

Interfacial relaxation - Crucial for phase-field methods to capture low to high energy drop-film impacts: Benchmark data

Efficiently combining Machine Learning with OpenFOAM using SmartSim - Slides

Asymmetry during fast stretching of a liquid bridge - simulation case setup

Asymmetry during fast stretching of a liquid bridge - research data

Numerical Wetting Benchmarks - Advancing the plicRDF-isoAdvector unstructured Volume-of-Fluid (VOF) method using height-function curvature model- Jupyter Notebooks, CSV files, Secondary Data, Parameter variation file

Analysis of convolutional neural network image classifiers in a hierarchical max-pooling model with additional local pooling: Implementations of the estimates and links to image data sets

Analysis of convolutional neural network image classifiers in a rotationally symmetric model: Implementations of the estimates and links to image data sets

On the rate of convergence of image classifiers based on convolutional neural networks: Implementations of the estimates and links to image data sets

Numerical Wetting Benchmarks - Advancing the plicRDF-isoAdvector unstructured Volume-of-Fluid (VOF) method using the RDF curvature model- Jupyter Notebooks, CSV files, Secondary Data, Parameter variation file

Research Software Engineering Workflow - Matlab/Octave MWE - Report

Research Software Engineering Workflow - Matlab/Octave MWE - Code and Data

A benchmark for surface-tension-driven incompressible two-phase flows - benchmark data

Computational Science and Engineering - Research Software Engineering Workflow : Research Code

Computational Science and Engineering - Research Software Engineering Workflow : Research Data

Computational Science and Engineering - Research Software Engineering Workflow : Research Report

Towards physics-based deep learning in OpenFOAM: Combining OpenFOAM with the PyTorch C++ API (Slides)

Towards physics-based deep learning in OpenFOAM: Combining OpenFOAM with the PyTorch C++ API (Source Code and Data)

A collocated unstructured finite volume Level Set / Front Trackingmethod for two-phase flows with large density-ratios - data

04 Fachbereich Mathematik: Recent submissions

CRC 1194 guideline on linking research data with publications ﻿

Inconsistencies in Unstructured Volume-of-Fluid Methods for Two-Phase Flows with High Density Ratios - Data ﻿

Interfacial relaxation - Crucial for phase-field methods to capture low to high energy drop-film impacts: Benchmark data ﻿

Efficiently combining Machine Learning with OpenFOAM using SmartSim - Slides ﻿

Asymmetry during fast stretching of a liquid bridge - simulation case setup ﻿

Asymmetry during fast stretching of a liquid bridge - research data ﻿

Numerical Wetting Benchmarks - Advancing the plicRDF-isoAdvector unstructured Volume-of-Fluid (VOF) method using height-function curvature model- Jupyter Notebooks, CSV files, Secondary Data, Parameter variation file ﻿

Analysis of convolutional neural network image classifiers in a hierarchical max-pooling model with additional local pooling: Implementations of the estimates and links to image data sets ﻿

Analysis of convolutional neural network image classifiers in a rotationally symmetric model: Implementations of the estimates and links to image data sets ﻿

On the rate of convergence of image classifiers based on convolutional neural networks: Implementations of the estimates and links to image data sets ﻿

Numerical Wetting Benchmarks - Advancing the plicRDF-isoAdvector unstructured Volume-of-Fluid (VOF) method using the RDF curvature model- Jupyter Notebooks, CSV files, Secondary Data, Parameter variation file ﻿

Research Software Engineering Workflow - Matlab/Octave MWE - Report ﻿

Research Software Engineering Workflow - Matlab/Octave MWE - Code and Data ﻿

A benchmark for surface-tension-driven incompressible two-phase flows - benchmark data ﻿

Computational Science and Engineering - Research Software Engineering Workflow : Research Code ﻿

Computational Science and Engineering - Research Software Engineering Workflow : Research Data ﻿

Computational Science and Engineering - Research Software Engineering Workflow : Research Report ﻿ ﻿

Towards physics-based deep learning in OpenFOAM: Combining OpenFOAM with the PyTorch C++ API (Slides) ﻿

Towards physics-based deep learning in OpenFOAM: Combining OpenFOAM with the PyTorch C++ API (Source Code and Data) ﻿

A collocated unstructured finite volume Level Set / Front Trackingmethod for two-phase flows with large density-ratios - data ﻿

CRC 1194 guideline on linking research data with publications

Inconsistencies in Unstructured Volume-of-Fluid Methods for Two-Phase Flows with High Density Ratios - Data

Interfacial relaxation - Crucial for phase-field methods to capture low to high energy drop-film impacts: Benchmark data

Efficiently combining Machine Learning with OpenFOAM using SmartSim - Slides

Asymmetry during fast stretching of a liquid bridge - simulation case setup

Asymmetry during fast stretching of a liquid bridge - research data

Numerical Wetting Benchmarks - Advancing the plicRDF-isoAdvector unstructured Volume-of-Fluid (VOF) method using height-function curvature model- Jupyter Notebooks, CSV files, Secondary Data, Parameter variation file

Analysis of convolutional neural network image classifiers in a hierarchical max-pooling model with additional local pooling: Implementations of the estimates and links to image data sets

Analysis of convolutional neural network image classifiers in a rotationally symmetric model: Implementations of the estimates and links to image data sets

On the rate of convergence of image classifiers based on convolutional neural networks: Implementations of the estimates and links to image data sets

Numerical Wetting Benchmarks - Advancing the plicRDF-isoAdvector unstructured Volume-of-Fluid (VOF) method using the RDF curvature model- Jupyter Notebooks, CSV files, Secondary Data, Parameter variation file

Research Software Engineering Workflow - Matlab/Octave MWE - Report

Research Software Engineering Workflow - Matlab/Octave MWE - Code and Data

A benchmark for surface-tension-driven incompressible two-phase flows - benchmark data

Computational Science and Engineering - Research Software Engineering Workflow : Research Code

Computational Science and Engineering - Research Software Engineering Workflow : Research Data

Computational Science and Engineering - Research Software Engineering Workflow : Research Report

Towards physics-based deep learning in OpenFOAM: Combining OpenFOAM with the PyTorch C++ API (Slides)

Towards physics-based deep learning in OpenFOAM: Combining OpenFOAM with the PyTorch C++ API (Source Code and Data)

A collocated unstructured finite volume Level Set / Front Trackingmethod for two-phase flows with large density-ratios - data