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License: MIT License

21 to 30 of 64 Results

Eigenvalue problem solver for evaporation-driven density instabilities in partially saturated porous media Jan 17, 2025 - Evaporation-driven density instabilities in unsaturated porous media Bringedal, Carina, 2025, "Eigenvalue problem solver for evaporation-driven density instabilities in partially saturated porous media", https://doi.org/10.18419/DARUS-4711, DaRUS, V1 This dataset contains the source code for the eigenvalue problem solver presented in Bringedal et al. "Impact of saturation on evaporation driven density instabilities in porous media: mathematical and numerical analysis" (submitted), Transport in Porous Media, **TODO: add doi after acceptance". The application allows to model the estimated onset t...
Knowledge Graph Generator Jan 8, 2025 - KR-Building (EXC IntCDC) Glaser, Gabriel Timon, 2025, "Knowledge Graph Generator", https://doi.org/10.18419/DARUS-4436, DaRUS, V1 Code and experiment results for a synthetic knowledge graph generator. The generator receives a set of rules, with an expected body support and support, and returns a knowledge graph that approximately matches the rules according to the body support and confidence. This code was developed during the Bachelor thesis by Gabriel Glaser, Generating Ran...
DuMuX code for modelling evaporation-driven density instabilities in unsaturated porous media Dec 19, 2024 - Evaporation-driven density instabilities in unsaturated porous media Kiemle, Stefanie, 2024, "DuMuX code for modelling evaporation-driven density instabilities in unsaturated porous media", https://doi.org/10.18419/DARUS-4610, DaRUS, V1 This dataset contains the source code to reproduce the numerical simulations presented in Bringedal et al. Impact of saturation on evaporation-driven density instabilities in porous media: mathematical and numerical analysis (submitted), Transport in Porous Media, TODO: add doi after acceptance. The application allows to model the estimated ons...
BayesValidRox 1.1.0 Dec 13, 2024 - D03: Development and realisation of validation benchmarks Kohlhaas, Rebecca; Morales Oreamuno, Maria Fernanda, 2024, "BayesValidRox 1.1.0", https://doi.org/10.18419/DARUS-4613, DaRUS, V1 Release 1.1.0 of BayesValidRox. BayesValidRox is an open-source python package that provides methods for surrogate modeling, Bayesian inference and model comparison. (2024-07-18)
Replication Data for: Wetting behavior in the inertial phase of droplet impacts onto sub-millimeter microstructured surfaces Nov 25, 2024 - Institute of Aerospace Thermodynamics Palmetshofer, Patrick; Wurst, Jonathan, 2024, "Replication Data for: Wetting behavior in the inertial phase of droplet impacts onto sub-millimeter microstructured surfaces", https://doi.org/10.18419/DARUS-4178, DaRUS, V1 Replication Data for: Wetting behavior in the inertial phase of droplet impacts onto sub-millimeter microstructured surfaces, published in the Journal of Colloid and Interface Science. The data consists of experimental data, which are the images obtained for all four perspectives on a single measurement day and numerical data, which is a single sim...
Scripts and data for "Calculation of 1H-NMR relaxation rates from a model united-atom alkanes using reverse coarse-graining" Oct 16, 2024 - Holm group Gravelle, Simon; Beyer, David; Brito, Mariano E.; Schlaich, Alexander; Holm, Christian, 2024, "Scripts and data for "Calculation of 1H-NMR relaxation rates from a model united-atom alkanes using reverse coarse-graining"", https://doi.org/10.18419/DARUS-4494, DaRUS, V1 Simulations and data analysis scripts for the publication "Calculation of 1H-NMR relaxation rates from a model united-atom alkanes using reverse coarse-graining". Within gromacs-inputs, two types of GROMACS simulation scripts are provided: all-atom and united-atoms. In both cases, the system is a liquid propane bulk system. See the README file for...
ApHIN - Autoencoder-based port-Hamiltonian Identification Networks (Software Package) Aug 27, 2024 - PN 7-6 Kneifl, Jonas; Rettberg, Johannes; Herb, Julius, 2024, "ApHIN - Autoencoder-based port-Hamiltonian Identification Networks (Software Package)", https://doi.org/10.18419/DARUS-4446, DaRUS, V1 Software package for data-driven identification of latent port-Hamiltonian systems. Abstract Conventional physics-based modeling techniques involve high effort, e.g.~time and expert knowledge, while data-driven methods often lack interpretability, structure, and sometimes reliability. To mitigate this, we present a data-driven system identification...
Code for Shrinking Embeddings for Hyper-relational Knowledge Graphs Jul 5, 2024 - KnowGraphs (EU) Xiong, Bo; Nayyeri, Mojtaba; Pan, Shirui; Staab, Steffen, 2024, "Code for Shrinking Embeddings for Hyper-relational Knowledge Graphs", https://doi.org/10.18419/DARUS-3979, DaRUS, V1 This is a Pytorch implementation of the paper Shrinking Embeddings for Hyper-relational Knowledge Graphs published in ACL'23. This code is used to reproduce the experiments of the method ShrinkE, a geometric embedding approach for hyper-relational knowledge graphs. The code is implemented with Python 3 and pytorch. The code is tested on public data...
Code for training and using the droplet segmentation models Jul 2, 2024 - Spray Segmentation Jose, Basil; Hampp, Fabian, 2024, "Code for training and using the droplet segmentation models", https://doi.org/10.18419/DARUS-4147, DaRUS, V1 This dataset contains the necessary code for using our spray segmentation model used in the paper, Machine learning based spray process quantification. More information can be found in the README.md.
UNITE Toolbox Jun 18, 2024 - PN 6A-4 Álvarez Chaves, Manuel; Ehret, Uwe; Guthke, Anneli, 2024, "UNITE Toolbox", https://doi.org/10.18419/DARUS-4188, DaRUS, V1 UNITE Toolbox Unified diagnostic evaluation of scientific models based on information theory The UNITE Toolbox is a Python library for incorporating Information Theory into data analysis and modeling workflows. The toolbox collects different methods of estimating information-theoretic quantities in one easy-to-use Python package. Currently, UNITE i...

Eigenvalue problem solver for evaporation-driven density instabilities in partially saturated porous media

Jan 17, 2025 - Evaporation-driven density instabilities in unsaturated porous media

Bringedal, Carina, 2025, "Eigenvalue problem solver for evaporation-driven density instabilities in partially saturated porous media", https://doi.org/10.18419/DARUS-4711, DaRUS, V1

This dataset contains the source code for the eigenvalue problem solver presented in Bringedal et al. "Impact of saturation on evaporation driven density instabilities in porous media: mathematical and numerical analysis" (submitted), Transport in Porous Media, **TODO: add doi after acceptance". The application allows to model the estimated onset t...

Knowledge Graph Generator

Jan 8, 2025 - KR-Building (EXC IntCDC)

Glaser, Gabriel Timon, 2025, "Knowledge Graph Generator", https://doi.org/10.18419/DARUS-4436, DaRUS, V1

Code and experiment results for a synthetic knowledge graph generator. The generator receives a set of rules, with an expected body support and support, and returns a knowledge graph that approximately matches the rules according to the body support and confidence. This code was developed during the Bachelor thesis by Gabriel Glaser, Generating Ran...

DuMuX code for modelling evaporation-driven density instabilities in unsaturated porous media

Dec 19, 2024 - Evaporation-driven density instabilities in unsaturated porous media

Kiemle, Stefanie, 2024, "DuMuX code for modelling evaporation-driven density instabilities in unsaturated porous media", https://doi.org/10.18419/DARUS-4610, DaRUS, V1

This dataset contains the source code to reproduce the numerical simulations presented in Bringedal et al. Impact of saturation on evaporation-driven density instabilities in porous media: mathematical and numerical analysis (submitted), Transport in Porous Media, **TODO: add doi after acceptance**. The application allows to model the estimated ons...

BayesValidRox 1.1.0

Dec 13, 2024 - D03: Development and realisation of validation benchmarks

Kohlhaas, Rebecca; Morales Oreamuno, Maria Fernanda, 2024, "BayesValidRox 1.1.0", https://doi.org/10.18419/DARUS-4613, DaRUS, V1

Release 1.1.0 of BayesValidRox. BayesValidRox is an open-source python package that provides methods for surrogate modeling, Bayesian inference and model comparison. (2024-07-18)

Replication Data for: Wetting behavior in the inertial phase of droplet impacts onto sub-millimeter microstructured surfaces

Nov 25, 2024 - Institute of Aerospace Thermodynamics

Palmetshofer, Patrick; Wurst, Jonathan, 2024, "Replication Data for: Wetting behavior in the inertial phase of droplet impacts onto sub-millimeter microstructured surfaces", https://doi.org/10.18419/DARUS-4178, DaRUS, V1

Replication Data for: Wetting behavior in the inertial phase of droplet impacts onto sub-millimeter microstructured surfaces, published in the Journal of Colloid and Interface Science. The data consists of experimental data, which are the images obtained for all four perspectives on a single measurement day and numerical data, which is a single sim...

Scripts and data for "Calculation of 1H-NMR relaxation rates from a model united-atom alkanes using reverse coarse-graining"

Oct 16, 2024 - Holm group

Gravelle, Simon; Beyer, David; Brito, Mariano E.; Schlaich, Alexander; Holm, Christian, 2024, "Scripts and data for "Calculation of 1H-NMR relaxation rates from a model united-atom alkanes using reverse coarse-graining"", https://doi.org/10.18419/DARUS-4494, DaRUS, V1

Simulations and data analysis scripts for the publication "Calculation of 1H-NMR relaxation rates from a model united-atom alkanes using reverse coarse-graining". Within gromacs-inputs, two types of GROMACS simulation scripts are provided: all-atom and united-atoms. In both cases, the system is a liquid propane bulk system. See the README file for...

ApHIN - Autoencoder-based port-Hamiltonian Identification Networks (Software Package)

Aug 27, 2024 - PN 7-6

Kneifl, Jonas; Rettberg, Johannes; Herb, Julius, 2024, "ApHIN - Autoencoder-based port-Hamiltonian Identification Networks (Software Package)", https://doi.org/10.18419/DARUS-4446, DaRUS, V1

Software package for data-driven identification of latent port-Hamiltonian systems. Abstract Conventional physics-based modeling techniques involve high effort, e.g.~time and expert knowledge, while data-driven methods often lack interpretability, structure, and sometimes reliability. To mitigate this, we present a data-driven system identification...

Code for Shrinking Embeddings for Hyper-relational Knowledge Graphs

Jul 5, 2024 - KnowGraphs (EU)

Xiong, Bo; Nayyeri, Mojtaba; Pan, Shirui; Staab, Steffen, 2024, "Code for Shrinking Embeddings for Hyper-relational Knowledge Graphs", https://doi.org/10.18419/DARUS-3979, DaRUS, V1

This is a Pytorch implementation of the paper Shrinking Embeddings for Hyper-relational Knowledge Graphs published in ACL'23. This code is used to reproduce the experiments of the method ShrinkE, a geometric embedding approach for hyper-relational knowledge graphs. The code is implemented with Python 3 and pytorch. The code is tested on public data...

Code for training and using the droplet segmentation models

Jul 2, 2024 - Spray Segmentation

Jose, Basil; Hampp, Fabian, 2024, "Code for training and using the droplet segmentation models", https://doi.org/10.18419/DARUS-4147, DaRUS, V1

This dataset contains the necessary code for using our spray segmentation model used in the paper, Machine learning based spray process quantification. More information can be found in the README.md.

UNITE Toolbox

Jun 18, 2024 - PN 6A-4

Álvarez Chaves, Manuel; Ehret, Uwe; Guthke, Anneli, 2024, "UNITE Toolbox", https://doi.org/10.18419/DARUS-4188, DaRUS, V1

UNITE Toolbox Unified diagnostic evaluation of scientific models based on information theory The UNITE Toolbox is a Python library for incorporating Information Theory into data analysis and modeling workflows. The toolbox collects different methods of estimating information-theoretic quantities in one easy-to-use Python package. Currently, UNITE i...

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