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41 to 50 of 293 Results

Datasets: 100 Heat Pumps, Simulation - Raw, 3+1 Data Points Sep 10, 2024 - Surrogate models for groundwater flow simulations Pelzer, Julia, 2024, "Datasets: 100 Heat Pumps, Simulation - Raw, 3+1 Data Points", https://doi.org/10.18419/DARUS-4156, DaRUS, V1 This data set serves as training data for modeling the temperature field emanating from several open loop groundwater heat pumps (one hundred heat pumps, randomly placed). It is simulated with Pflotran and saved in h5 format. The data set contains 3 data points, each consisting of one simulation run until a near steady state is reached. Each data p...
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 and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data Aug 8, 2024 - PN 6-3 Holzmüller, David; Grinsztajn, Léo; Steinwart, Ingo, 2024, "Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data", https://doi.org/10.18419/DARUS-4255, DaRUS, V1 This dataset contains code and data for our paper "Better by default: Strong pre-tuned MLPs and boosted trees on tabular data". The main code is provided in pytabkit_code.zip and contains further documentation in README.md and the docs folder. The main code is also provided on GitHub. Here, we additionally provide the data that is generated by the...
Periodic Trajectories of a Passive One-Legged Hopper Jul 16, 2024 - Learned surrogate models of dynamic systems Raff, Maximilian; Remy, C. David, 2024, "Periodic Trajectories of a Passive One-Legged Hopper", https://doi.org/10.18419/DARUS-4237, DaRUS, V2 General The one-legged hopper depicted in hooper.png is energetically conservative. The state of the system is given by the horizontal position (x), the vertical position (y), the leg rotation angle (alpha), and their respective velocities. The data required to comprehensively describe a periodic motion (gait) consists of these 6 states, the period...
Data for: HNC: Leveraging Hard Negative Captions towards Models with Fine-Grained Visual-Linguistic Comprehension Capabilities Jul 8, 2024 - Hard Negative Captions Tilli, Pascal, 2024, "Data for: HNC: Leveraging Hard Negative Captions towards Models with Fine-Grained Visual-Linguistic Comprehension Capabilities", https://doi.org/10.18419/DARUS-4341, DaRUS, V1 Image-Text-Matching (ITM) is one of the defacto methods of learning generalized representations from a large corpus in Vision and Language (VL). However, due to the weak association between the web-collected image–text pairs, models fail to show fine-grained understanding of the combined semantics of these modalities. To this end, we propose Hard N...
Hard Negative Captions(Universität Stuttgart) Jul 3, 2024PN 6-5 (II)
PN 6-5 (II)(Universität Stuttgart) Jul 3, 2024PN 6 SimTech Project PN 6-5 (II) "Interpretable and explainable cognitive inspired machine learning systems"
EHTM Code and Manual Jun 26, 2024 - Extended Hill-Type Muscle Material Model (EHTM) Nölle, Lennart Vincent; Lerge, Patrick; Martynenko, Oleksandr; Wochner, Isabell; Kempter, Fabian; Kleinbach, Christian; Schmitt, Syn; Fehr, Jörg, 2022, "EHTM Code and Manual", https://doi.org/10.18419/DARUS-1144, DaRUS, V3 This Dataset contains the implementation of the four element Extended Hill-type Muscle (EHTM) model with serial damping and eccentric force–velocity relation including Ca2+ dependent activation dynamics and internal methods for physiological muscle control for the finite-element solver LS-DYNA.
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...
Supporting Information: Chemical Potential Differences in Nanoscopic Teflon/Kapton Capillaries Jun 6, 2024 - PN 1-8 Stärk, Philipp; Schlaich, Alexander, 2024, "Supporting Information: Chemical Potential Differences in Nanoscopic Teflon/Kapton Capillaries", https://doi.org/10.18419/DARUS-3149, DaRUS, V1 This is the repository holding the supporting information for atomistic Molecular Dynamics Simulations of Teflon/Kapton capillaries. Here we list the simulation input scripts as well as analysis scripts. See the README file for more information.

Datasets: 100 Heat Pumps, Simulation - Raw, 3+1 Data Points

Sep 10, 2024 - Surrogate models for groundwater flow simulations

Pelzer, Julia, 2024, "Datasets: 100 Heat Pumps, Simulation - Raw, 3+1 Data Points", https://doi.org/10.18419/DARUS-4156, DaRUS, V1

This data set serves as training data for modeling the temperature field emanating from several open loop groundwater heat pumps (one hundred heat pumps, randomly placed). It is simulated with Pflotran and saved in h5 format. The data set contains 3 data points, each consisting of one simulation run until a near steady state is reached. Each data p...

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 and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data

Aug 8, 2024 - PN 6-3

Holzmüller, David; Grinsztajn, Léo; Steinwart, Ingo, 2024, "Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data", https://doi.org/10.18419/DARUS-4255, DaRUS, V1

This dataset contains code and data for our paper "Better by default: Strong pre-tuned MLPs and boosted trees on tabular data". The main code is provided in pytabkit_code.zip and contains further documentation in README.md and the docs folder. The main code is also provided on GitHub. Here, we additionally provide the data that is generated by the...

Periodic Trajectories of a Passive One-Legged Hopper

Jul 16, 2024 - Learned surrogate models of dynamic systems

Raff, Maximilian; Remy, C. David, 2024, "Periodic Trajectories of a Passive One-Legged Hopper", https://doi.org/10.18419/DARUS-4237, DaRUS, V2

General The one-legged hopper depicted in hooper.png is energetically conservative. The state of the system is given by the horizontal position (x), the vertical position (y), the leg rotation angle (alpha), and their respective velocities. The data required to comprehensively describe a periodic motion (gait) consists of these 6 states, the period...

Data for: HNC: Leveraging Hard Negative Captions towards Models with Fine-Grained Visual-Linguistic Comprehension Capabilities

Jul 8, 2024 - Hard Negative Captions

Tilli, Pascal, 2024, "Data for: HNC: Leveraging Hard Negative Captions towards Models with Fine-Grained Visual-Linguistic Comprehension Capabilities", https://doi.org/10.18419/DARUS-4341, DaRUS, V1

Image-Text-Matching (ITM) is one of the defacto methods of learning generalized representations from a large corpus in Vision and Language (VL). However, due to the weak association between the web-collected image–text pairs, models fail to show fine-grained understanding of the combined semantics of these modalities. To this end, we propose Hard N...

Hard Negative Captions(Universität Stuttgart)

Jul 3, 2024PN 6-5 (II)

PN 6-5 (II)(Universität Stuttgart)

Jul 3, 2024PN 6

SimTech Project PN 6-5 (II) "Interpretable and explainable cognitive inspired machine learning systems"

EHTM Code and Manual

Jun 26, 2024 - Extended Hill-Type Muscle Material Model (EHTM)

Nölle, Lennart Vincent; Lerge, Patrick; Martynenko, Oleksandr; Wochner, Isabell; Kempter, Fabian; Kleinbach, Christian; Schmitt, Syn; Fehr, Jörg, 2022, "EHTM Code and Manual", https://doi.org/10.18419/DARUS-1144, DaRUS, V3

This Dataset contains the implementation of the four element Extended Hill-type Muscle (EHTM) model with serial damping and eccentric force–velocity relation including Ca2+ dependent activation dynamics and internal methods for physiological muscle control for the finite-element solver LS-DYNA.

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...

Supporting Information: Chemical Potential Differences in Nanoscopic Teflon/Kapton Capillaries

Jun 6, 2024 - PN 1-8

Stärk, Philipp; Schlaich, Alexander, 2024, "Supporting Information: Chemical Potential Differences in Nanoscopic Teflon/Kapton Capillaries", https://doi.org/10.18419/DARUS-3149, DaRUS, V1

This is the repository holding the supporting information for atomistic Molecular Dynamics Simulations of Teflon/Kapton capillaries. Here we list the simulation input scripts as well as analysis scripts. See the README file for more information.

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