EXC 2075 Project Networks

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51 to 60 of 133 Results

Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3] Apr 5, 2023 - PN 6 Holzmüller, David; Zaverkin, Viktor; Kästner, Johannes; Steinwart, Ingo, 2023, "Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3]", https://doi.org/10.18419/darus-3394, DaRUS, V1 This dataset contains code and data for the third arXiv version of our paper "A Framework and Benchmark for Deep Batch Active Learning for Regression". The code can be used to reproduce the results, to benchmark new methods, or to apply the presented methods to new Deep Batch Act...
Registered Cars and Motorized Two- and Three-wheelers in Worldwide Countries Mar 22, 2023 - PN 7-6 Steffen, Maier, 2023, "Registered Cars and Motorized Two- and Three-wheelers in Worldwide Countries", https://doi.org/10.18419/darus-3378, DaRUS, V1 Interactive plot of registered cars and motorized two- and three-wheelers in worldwide countries based the data set from the "WHO Global Status Report on Road Safety 2018" of the World Health Organization.
Supplementary material for 'Structural basis for ninjurin-1 mediated plasma membrane rupture in lytic cell death' Mar 9, 2023 - PN 3-11 Degen, Morris; Santos, José Carlos; Pluhackova, Kristyna; Cebrero, Gonzalo; Ramos, Saray; Jankevicius, Gytis; Hartenian, Ella; Guillerm, Undina; Mari, Stefania A.; Kohl, Bastian; Müller, Daniel J.; Schanda, Paul; Maier, Timm; Perez, Camilo; Sieben, Christian; Broz, Petr; Hiller, Sebastian, 2023, "Supplementary material for 'Structural basis for ninjurin-1 mediated plasma membrane rupture in lytic cell death'", https://doi.org/10.18419/darus-3373, DaRUS, V1 Eukaryotic cells can undergo different forms of programmed cell death, many of which culminate in plasma membrane rupture (PMR) as the defining terminal event. PMR was long thought to be driven by osmotic pressure, until it was recently shown to be in many cases an active process...
Replication Data for phase-field contributions in level-set comparison study Mar 2, 2023 - PN 1-6 Kelm, Mathis; Bringedal, Carina; Flemisch, Bernd, 2023, "Replication Data for phase-field contributions in level-set comparison study", https://doi.org/10.18419/darus-3359, DaRUS, V1, UNF:6:MsNXqcARspF5yuVdFLKT0Q== [fileUNF] Primary and post-processed simulation data and visualization tools to reproduce the phase-field results presented in the related publication. The folders "simulation" and "effective_quantities" contain primary simulation results obtained with the code published in the DuMux-pub m...
PN 3-11(Universität Stuttgart) Feb 28, 2023PN 3 Biological Molecular Dynamics Simulations
Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials Feb 20, 2023 - PN 6 Zaverkin, Viktor; Holzmüller, David; Bonfirraro, Luca; Kästner, Johannes, 2023, "Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials", https://doi.org/10.18419/darus-3299, DaRUS, V1 Pre-trained and fine-tuned ANI models using the Gaussian Moments Neural Network (GM-NN) approach. Code for GM-NN implemented within the Tensorflow framework, including the respective documentation and tutorials, can be found on GitLab. The data represents TensorFlow v2 checkpoint...
Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator Feb 15, 2023 - PN 5 Kohlhaas, Rebecca; Kröker, Ilja; Oladyshkin, Sergey; Nowak, Wolfgang, 2023, "Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator", https://doi.org/10.18419/darus-2829, DaRUS, V1 This folder contains the code for the aMR-PC toolbox by Ilja Kröker in the version used for the code in GALMAP_code. This toolbox was also used for Kröker et al. 2022 Link to current version of the toolbox here Data This folder contains inputs and simulated outputs of the CO_2 be...
Code for: Seasonal Dynamics of Gaseous CO2 Concentrations in a Karst Cave Correspond With Aqueous Concentrations in a Stagnant Water Column Feb 13, 2023 - C04: Pore-scale and REV-scale approaches to biological and chemical pore-space alteration in porous media Keim, Leon; Class, Holger; Schirmer, Larissa; Strauch, Bettina; Wendel, Kai; Zimmer, Martin, 2023, "Code for: Seasonal Dynamics of Gaseous CO2 Concentrations in a Karst Cave Correspond With Aqueous Concentrations in a Stagnant Water Column", https://doi.org/10.18419/darus-3276, DaRUS, V1 This dataset contains the DuMux code for the simulations in https://doi.org/10.3390/geosciences13020051 For the detailed list of software used, please have a look at the file install_class2023.sh. To run the simulations at your own computer, please conduct the following steps: In...
Data for: Measurement Campaign of Gaseous CO2 Concentrations in a Karst Cave with Aqueous Concentrations in a Stagnant Water Column 2021-2022. Feb 13, 2023 - C04: Pore-scale and REV-scale approaches to biological and chemical pore-space alteration in porous media Keim, Leon; Class, Holger; Schirmer, Larissa; Wendel, Kai; Strauch, Bettina; Zimmer, Martin, 2023, "Data for: Measurement Campaign of Gaseous CO2 Concentrations in a Karst Cave with Aqueous Concentrations in a Stagnant Water Column 2021-2022.", https://doi.org/10.18419/darus-3271, DaRUS, V1 This dataset contains data generated during the measurement campaign inside the karst cave. The CO2 sensors in the cave air will continue to measure (as of Feb. 2023). For details on the site etc. see https://doi.org/10.3390/geosciences13020051 To create the graphs in the Class e...
Continuum-mechanical Forward Simulation Results of a Human Upper-limb Model Under Varying Muscle Activations Jan 30, 2023 - PN 7-6 Kneifl, Jonas; Rosin, David; Avci, Okan; Röhrle, Oliver; Fehr, Jörg, 2023, "Continuum-mechanical Forward Simulation Results of a Human Upper-limb Model Under Varying Muscle Activations", https://doi.org/10.18419/darus-3302, DaRUS, V1 This dataset provides simulation results from a high-fidelity human upper-arm finite element model under varying muscle activations and an example script to load the data. The upper arm model consists of the bones of the radius and ulna for the forearm and the humerus for the upp...

Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3]

Apr 5, 2023 - PN 6

Holzmüller, David; Zaverkin, Viktor; Kästner, Johannes; Steinwart, Ingo, 2023, "Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3]", https://doi.org/10.18419/darus-3394, DaRUS, V1

This dataset contains code and data for the third arXiv version of our paper "A Framework and Benchmark for Deep Batch Active Learning for Regression". The code can be used to reproduce the results, to benchmark new methods, or to apply the presented methods to new Deep Batch Act...

Registered Cars and Motorized Two- and Three-wheelers in Worldwide Countries

Mar 22, 2023 - PN 7-6

Steffen, Maier, 2023, "Registered Cars and Motorized Two- and Three-wheelers in Worldwide Countries", https://doi.org/10.18419/darus-3378, DaRUS, V1

Interactive plot of registered cars and motorized two- and three-wheelers in worldwide countries based the data set from the "WHO Global Status Report on Road Safety 2018" of the World Health Organization.

Supplementary material for 'Structural basis for ninjurin-1 mediated plasma membrane rupture in lytic cell death'

Mar 9, 2023 - PN 3-11

Degen, Morris; Santos, José Carlos; Pluhackova, Kristyna; Cebrero, Gonzalo; Ramos, Saray; Jankevicius, Gytis; Hartenian, Ella; Guillerm, Undina; Mari, Stefania A.; Kohl, Bastian; Müller, Daniel J.; Schanda, Paul; Maier, Timm; Perez, Camilo; Sieben, Christian; Broz, Petr; Hiller, Sebastian, 2023, "Supplementary material for 'Structural basis for ninjurin-1 mediated plasma membrane rupture in lytic cell death'", https://doi.org/10.18419/darus-3373, DaRUS, V1

Eukaryotic cells can undergo different forms of programmed cell death, many of which culminate in plasma membrane rupture (PMR) as the defining terminal event. PMR was long thought to be driven by osmotic pressure, until it was recently shown to be in many cases an active process...

Replication Data for phase-field contributions in level-set comparison study

Mar 2, 2023 - PN 1-6

Kelm, Mathis; Bringedal, Carina; Flemisch, Bernd, 2023, "Replication Data for phase-field contributions in level-set comparison study", https://doi.org/10.18419/darus-3359, DaRUS, V1, UNF:6:MsNXqcARspF5yuVdFLKT0Q== [fileUNF]

Primary and post-processed simulation data and visualization tools to reproduce the phase-field results presented in the related publication. The folders "simulation" and "effective_quantities" contain primary simulation results obtained with the code published in the DuMux-pub m...

PN 3-11(Universität Stuttgart)

Feb 28, 2023PN 3

Biological Molecular Dynamics Simulations

Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials

Feb 20, 2023 - PN 6

Zaverkin, Viktor; Holzmüller, David; Bonfirraro, Luca; Kästner, Johannes, 2023, "Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials", https://doi.org/10.18419/darus-3299, DaRUS, V1

Pre-trained and fine-tuned ANI models using the Gaussian Moments Neural Network (GM-NN) approach. Code for GM-NN implemented within the Tensorflow framework, including the respective documentation and tutorials, can be found on GitLab. The data represents TensorFlow v2 checkpoint...

Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator

Feb 15, 2023 - PN 5

Kohlhaas, Rebecca; Kröker, Ilja; Oladyshkin, Sergey; Nowak, Wolfgang, 2023, "Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator", https://doi.org/10.18419/darus-2829, DaRUS, V1

This folder contains the code for the aMR-PC toolbox by Ilja Kröker in the version used for the code in GALMAP_code. This toolbox was also used for Kröker et al. 2022 Link to current version of the toolbox here Data This folder contains inputs and simulated outputs of the CO_2 be...

Code for: Seasonal Dynamics of Gaseous CO2 Concentrations in a Karst Cave Correspond With Aqueous Concentrations in a Stagnant Water Column

Feb 13, 2023 - C04: Pore-scale and REV-scale approaches to biological and chemical pore-space alteration in porous media

Keim, Leon; Class, Holger; Schirmer, Larissa; Strauch, Bettina; Wendel, Kai; Zimmer, Martin, 2023, "Code for: Seasonal Dynamics of Gaseous CO2 Concentrations in a Karst Cave Correspond With Aqueous Concentrations in a Stagnant Water Column", https://doi.org/10.18419/darus-3276, DaRUS, V1

This dataset contains the DuMux code for the simulations in https://doi.org/10.3390/geosciences13020051 For the detailed list of software used, please have a look at the file install_class2023.sh. To run the simulations at your own computer, please conduct the following steps: In...

Data for: Measurement Campaign of Gaseous CO2 Concentrations in a Karst Cave with Aqueous Concentrations in a Stagnant Water Column 2021-2022.

Feb 13, 2023 - C04: Pore-scale and REV-scale approaches to biological and chemical pore-space alteration in porous media

Keim, Leon; Class, Holger; Schirmer, Larissa; Wendel, Kai; Strauch, Bettina; Zimmer, Martin, 2023, "Data for: Measurement Campaign of Gaseous CO2 Concentrations in a Karst Cave with Aqueous Concentrations in a Stagnant Water Column 2021-2022.", https://doi.org/10.18419/darus-3271, DaRUS, V1

This dataset contains data generated during the measurement campaign inside the karst cave. The CO2 sensors in the cave air will continue to measure (as of Feb. 2023). For details on the site etc. see https://doi.org/10.3390/geosciences13020051 To create the graphs in the Class e...

Continuum-mechanical Forward Simulation Results of a Human Upper-limb Model Under Varying Muscle Activations

Jan 30, 2023 - PN 7-6

Kneifl, Jonas; Rosin, David; Avci, Okan; Röhrle, Oliver; Fehr, Jörg, 2023, "Continuum-mechanical Forward Simulation Results of a Human Upper-limb Model Under Varying Muscle Activations", https://doi.org/10.18419/darus-3302, DaRUS, V1

This dataset provides simulation results from a high-fidelity human upper-arm finite element model under varying muscle activations and an example script to load the data. The upper arm model consists of the bones of the radius and ulna for the forearm and the humerus for the upp...

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