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Technische Universität Darmstadt
04 Fachbereich Mathematik
Recent submissions
TUdatalib Home
Technische Universität Darmstadt
04 Fachbereich Mathematik
Recent submissions
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04 Fachbereich Mathematik: Recent submissions
Now showing items 21-40 of 63
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 - research data
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 - simulation case setup
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
)
Research Software Engineering Workflow - Matlab/Octave MWE - Report
Maric, Tomislav
(
2023-01-31
)
Research Software Engineering Workflow - Matlab/Octave MWE - Code and Data
Maric, Tomislav
(
2023-01-31
)
A benchmark for surface-tension-driven incompressible two-phase flows - benchmark data
Lippert, Anja
;
Tolle, Tobias
;
Dörr, Aaron
;
Maric, Tomislav
(
2022-11-28
)
Computational Science and Engineering - Research Software Engineering Workflow : Research Code
Maric, Tomislav
(
2022-07-07
)
Computational Science and Engineering - Research Software Engineering Workflow : Research Data
Maric, Tomislav
(
2022-07-07
)
Computational Science and Engineering - Research Software Engineering Workflow : Research Report
Maric, Tomislav
(
2022-07-21
)
Towards physics-based deep learning in OpenFOAM: Combining OpenFOAM with the PyTorch C++ API (Slides)
Maric, Tomislav
;
Weiner, Andre
(
2022-07-10
)
Towards physics-based deep learning in OpenFOAM: Combining OpenFOAM with the PyTorch C++ API (Source Code and Data)
Maric, Tomislav
(
2022-07-10
)
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
)