Stuttgart Center for Simulation Science (SC SimTech)

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Subject: Mathematical Sciences Subject: Physics

1 to 10 of 16 Results

Replication Data for: Constraint-aware neural networks for Riemann problems Jan 11, 2024 - Projects without PN Affiliation Magiera, Jim M., 2024, "Replication Data for: Constraint-aware neural networks for Riemann problems", https://doi.org/10.18419/darus-3869, DaRUS, V1 Data sets of the article "Constraint-aware neural networks for Riemann problems", consisting of training and test data sets for Riemann solutions of the cubic flux model, an isothermal two-phase model, and the Euler equations for an ideal gas. You can find detailed information in...
Replication Data for: A physiologically enhanced muscle spindle model: using a Hill-type model for extrafusal fibers as template for intrafusal fibers Dec 15, 2023 - PN 2-3B Santana Chacon, Pablo Filipe; Hammer, Maria; Wochner, Isabell; Walter, Johannes R.; Schmitt, Syn, 2023, "Replication Data for: A physiologically enhanced muscle spindle model: using a Hill-type model for extrafusal fibers as template for intrafusal fibers", https://doi.org/10.18419/darus-3796, DaRUS, V1 This code/data allows you reproduce the results of the paper: "A physiologically enhanced muscle spindle model: using a Hill-type model for extrafusal fibers as template for intrafusal fibers" by P. F. S. Chacon, M. Hammer, I. Wochner, J. R. Walter and S. Schmitt. Always cite the...
Projects without PN Affiliation(Universität Stuttgart) Mar 1, 2021 This dataverse hosts data(-verses) without a project network affiliation.
PN 7-6(Universität Stuttgart) Nov 19, 2020PN 7
PN 7(Universität Stuttgart) Sep 6, 2019EXC 2075 Project Networks SimTech EXC 2075 Project Network 7 "Adaptive simulation and interaction"
PN 6(Universität Stuttgart) Sep 6, 2019EXC 2075 Project Networks SimTech EXC 2075 Project Network 6 "Machine learning for simulation"
PN 2-3B(Universität Stuttgart) Nov 9, 2023PN 2 Open-Source structurally physiological Hill-type model of the muscle spindle for forward-dynamic simulations in biophysics and biomechanics.
PN 2(Universität Stuttgart) Sep 6, 2019EXC 2075 Project Networks SimTech EXC 2075 Project Network 2 "In silico models of coupled biological systems"
PN 1(Universität Stuttgart) Sep 6, 2019EXC 2075 Project Networks SimTech EXC 2075 Project Network 1 "Data-integrated models and methods for multiphase fluid dynamics"
MPC/OC Code for: Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks Dec 16, 2022 - demoa Wochner, Isabell; Schmitt, Syn, 2022, "MPC/OC Code for: Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks", https://doi.org/10.18419/darus-3268, DaRUS, V1 This code allows you reproduce the optimal control and model predictive control results of the paper: "Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks" by Isabell Wochner, Pierre Schumacher, Georg Martius, Dieter Büchler, Syn Schmitt an...

Replication Data for: Constraint-aware neural networks for Riemann problems

Jan 11, 2024 - Projects without PN Affiliation

Magiera, Jim M., 2024, "Replication Data for: Constraint-aware neural networks for Riemann problems", https://doi.org/10.18419/darus-3869, DaRUS, V1

Data sets of the article "Constraint-aware neural networks for Riemann problems", consisting of training and test data sets for Riemann solutions of the cubic flux model, an isothermal two-phase model, and the Euler equations for an ideal gas. You can find detailed information in...

Replication Data for: A physiologically enhanced muscle spindle model: using a Hill-type model for extrafusal fibers as template for intrafusal fibers

Dec 15, 2023 - PN 2-3B

Santana Chacon, Pablo Filipe; Hammer, Maria; Wochner, Isabell; Walter, Johannes R.; Schmitt, Syn, 2023, "Replication Data for: A physiologically enhanced muscle spindle model: using a Hill-type model for extrafusal fibers as template for intrafusal fibers", https://doi.org/10.18419/darus-3796, DaRUS, V1

This code/data allows you reproduce the results of the paper: "A physiologically enhanced muscle spindle model: using a Hill-type model for extrafusal fibers as template for intrafusal fibers" by P. F. S. Chacon, M. Hammer, I. Wochner, J. R. Walter and S. Schmitt. Always cite the...

Projects without PN Affiliation(Universität Stuttgart)

Mar 1, 2021

This dataverse hosts data(-verses) without a project network affiliation.

PN 7-6(Universität Stuttgart)

Nov 19, 2020PN 7

PN 7(Universität Stuttgart)

Sep 6, 2019EXC 2075 Project Networks

SimTech EXC 2075 Project Network 7 "Adaptive simulation and interaction"

PN 6(Universität Stuttgart)

Sep 6, 2019EXC 2075 Project Networks

SimTech EXC 2075 Project Network 6 "Machine learning for simulation"

PN 2-3B(Universität Stuttgart)

Nov 9, 2023PN 2

Open-Source structurally physiological Hill-type model of the muscle spindle for forward-dynamic simulations in biophysics and biomechanics.

PN 2(Universität Stuttgart)

Sep 6, 2019EXC 2075 Project Networks

SimTech EXC 2075 Project Network 2 "In silico models of coupled biological systems"

PN 1(Universität Stuttgart)

Sep 6, 2019EXC 2075 Project Networks

SimTech EXC 2075 Project Network 1 "Data-integrated models and methods for multiphase fluid dynamics"

MPC/OC Code for: Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks

Dec 16, 2022 - demoa

Wochner, Isabell; Schmitt, Syn, 2022, "MPC/OC Code for: Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks", https://doi.org/10.18419/darus-3268, DaRUS, V1

This code allows you reproduce the optimal control and model predictive control results of the paper: "Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks" by Isabell Wochner, Pierre Schumacher, Georg Martius, Dieter Büchler, Syn Schmitt an...

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