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Author Affiliation: Universität Stuttgart Publication Year: 2022

1 to 10 of 109 Results

PDEBench Datasets Feb 13, 2024 - SciML PDE Benchmark Takamoto, Makoto; Praditia, Timothy; Leiteritz, Raphael; MacKinlay, Dan; Alesiani, Francesco; Pflüger, Dirk; Niepert, Mathias, 2022, "PDEBench Datasets", https://doi.org/10.18419/darus-2986, DaRUS, V8 This dataset contains benchmark data, generated with numerical simulation based on different PDEs, namely 1D advection, 1D Burgers', 1D and 2D diffusion-reaction, 1D diffusion-sorption, 1D, 2D, and 3D compressible Navier-Stokes, 2D Darcy flow, and 2D shallow water equation. This...
PDEBench Pretrained Models Nov 30, 2023 - SciML PDE Benchmark Takamoto, Makoto; Praditia, Timothy; Leiteritz, Raphael; MacKinlay, Dan; Alesiani, Francesco; Pflüger, Dirk; Niepert, Mathias, 2022, "PDEBench Pretrained Models", https://doi.org/10.18419/darus-2987, DaRUS, V2 This dataset contains the pretrained baseline models, namely FNO, U-Net, and PINN. These models are trained on different PDEs, such as 1D advection, 1D Burgers', 1D and 2D diffusion-reaction, 1D diffusion-sorption, 1D, 2D, and 3D compressible Navier-Stokes, 2D Darcy flow, and 2D...
EHTM Code and Manual Oct 9, 2023 - Extended Hill-Type Muscle Material Model (EHTM) Nölle, Lennart; 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, V2 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...
Stakeholders in Multi-storey Timber Data Sep 6, 2023 - EXC IntCDC RP 3: Multi-Storey Wood Building System Orozco, Luis; Svatoš-Ražnjević, Hana; Menges, Achim, 2022, "Stakeholders in Multi-storey Timber Data", https://doi.org/10.18419/darus-2740, DaRUS, V2 This dataset contains a collection of data on almost 540 stakeholders in multi-storey timber construction. The list includes architects, engineers, and manufacturers involved in the design and construction of 300 contemporary multi-storey timber projects built between 2000 and 20...
Replication Data for: A mass-conserving sparse grid combination technique with biorthogonal hierarchical basis functions for kinetic simulations Apr 20, 2023 - Publications Pollinger, Theresa, 2022, "Replication Data for: A mass-conserving sparse grid combination technique with biorthogonal hierarchical basis functions for kinetic simulations", https://doi.org/10.18419/darus-2790, DaRUS, V2 Replication data for advection, Landau damping, and two-stream instability experiments with mass-conserving basis functions (vs hat functions) in the combination technique. The simulations are based on the DisCoTec and SeLaLib codes. If you want to re-generate the numerical data,...
Interface Preserving Moving Mesh (Code) Mar 8, 2023 - Projects without PN Affiliation Alkämper, Maria; Magiera, Jim M., 2022, "Interface Preserving Moving Mesh (Code)", https://doi.org/10.18419/darus-1671, DaRUS, V2 Open source implementation in C++ for an interface preserving moving mesh in 2d and 3d using CGAL Delaunay triangulations. The time-dependent computational mesh allows for large point deformations while preserving a lower dimensional interface surface. See README.md for more info...
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: Uncertainty-Aware Principal Component Analysis Dec 7, 2022 - SFB-TRR 161 A01 "Uncertainty Quantification and Analysis in Visual Computing" Görtler, Jochen; Spinner, Thilo; Weiskopf, Daniel; Deussen, Oliver, 2022, "Replication Data for: Uncertainty-Aware Principal Component Analysis", https://doi.org/10.18419/darus-2321, DaRUS, V1 This dataset contains the source code for uncertainty-aware principal component analysis (UA-PCA) and a series of images that show dimensionality reduction plots created with UA-PCA. The software is a JavaScript library for performing principal component analysis and dimensionali...
Data for: Create a Fluid-Structure Simulation Framework for Cycloidal Rotors Dec 7, 2022 - Cyclorotor Schließus, Julian; Gagnon, Louis, 2022, "Data for: Create a Fluid-Structure Simulation Framework for Cycloidal Rotors", https://doi.org/10.18419/darus-2232, DaRUS, V2 OpenFOAM simulation case files and results accompanying the article having the same title are included. The pressure and velocity fields could be visualized by using Paraview. The cases are described in the Bachelor Thesis referenced under Related Publication. For details how to...
Replication Data for: Anti-Zeno purification of spin baths by quantum probe measurements Dec 6, 2022 - 3rd Physics Institute Dasari, Durga, 2022, "Replication Data for: Anti-Zeno purification of spin baths by quantum probe measurements", https://doi.org/10.18419/darus-3262, DaRUS, V2, UNF:6:5LGVz9ukvWRrstHZVproWQ== [fileUNF] Datasets to reproduce all plots in the paper. Each spreadsheet (xls file) contains the horizontal and vertical data of a subfigure. The experimental data is produced from the low temperature confocal microscopy setup measuring the fluorescence (photon count) of a color center in...

PDEBench Datasets

Feb 13, 2024 - SciML PDE Benchmark

Takamoto, Makoto; Praditia, Timothy; Leiteritz, Raphael; MacKinlay, Dan; Alesiani, Francesco; Pflüger, Dirk; Niepert, Mathias, 2022, "PDEBench Datasets", https://doi.org/10.18419/darus-2986, DaRUS, V8

This dataset contains benchmark data, generated with numerical simulation based on different PDEs, namely 1D advection, 1D Burgers', 1D and 2D diffusion-reaction, 1D diffusion-sorption, 1D, 2D, and 3D compressible Navier-Stokes, 2D Darcy flow, and 2D shallow water equation. This...

PDEBench Pretrained Models

Nov 30, 2023 - SciML PDE Benchmark

Takamoto, Makoto; Praditia, Timothy; Leiteritz, Raphael; MacKinlay, Dan; Alesiani, Francesco; Pflüger, Dirk; Niepert, Mathias, 2022, "PDEBench Pretrained Models", https://doi.org/10.18419/darus-2987, DaRUS, V2

This dataset contains the pretrained baseline models, namely FNO, U-Net, and PINN. These models are trained on different PDEs, such as 1D advection, 1D Burgers', 1D and 2D diffusion-reaction, 1D diffusion-sorption, 1D, 2D, and 3D compressible Navier-Stokes, 2D Darcy flow, and 2D...

EHTM Code and Manual

Oct 9, 2023 - Extended Hill-Type Muscle Material Model (EHTM)

Nölle, Lennart; 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, V2

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...

Stakeholders in Multi-storey Timber Data

Sep 6, 2023 - EXC IntCDC RP 3: Multi-Storey Wood Building System

Orozco, Luis; Svatoš-Ražnjević, Hana; Menges, Achim, 2022, "Stakeholders in Multi-storey Timber Data", https://doi.org/10.18419/darus-2740, DaRUS, V2

This dataset contains a collection of data on almost 540 stakeholders in multi-storey timber construction. The list includes architects, engineers, and manufacturers involved in the design and construction of 300 contemporary multi-storey timber projects built between 2000 and 20...

Replication Data for: A mass-conserving sparse grid combination technique with biorthogonal hierarchical basis functions for kinetic simulations

Apr 20, 2023 - Publications

Pollinger, Theresa, 2022, "Replication Data for: A mass-conserving sparse grid combination technique with biorthogonal hierarchical basis functions for kinetic simulations", https://doi.org/10.18419/darus-2790, DaRUS, V2

Replication data for advection, Landau damping, and two-stream instability experiments with mass-conserving basis functions (vs hat functions) in the combination technique. The simulations are based on the DisCoTec and SeLaLib codes. If you want to re-generate the numerical data,...

Interface Preserving Moving Mesh (Code)

Mar 8, 2023 - Projects without PN Affiliation

Alkämper, Maria; Magiera, Jim M., 2022, "Interface Preserving Moving Mesh (Code)", https://doi.org/10.18419/darus-1671, DaRUS, V2

Open source implementation in C++ for an interface preserving moving mesh in 2d and 3d using CGAL Delaunay triangulations. The time-dependent computational mesh allows for large point deformations while preserving a lower dimensional interface surface. See README.md for more info...

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: Uncertainty-Aware Principal Component Analysis

Dec 7, 2022 - SFB-TRR 161 A01 "Uncertainty Quantification and Analysis in Visual Computing"

Görtler, Jochen; Spinner, Thilo; Weiskopf, Daniel; Deussen, Oliver, 2022, "Replication Data for: Uncertainty-Aware Principal Component Analysis", https://doi.org/10.18419/darus-2321, DaRUS, V1

This dataset contains the source code for uncertainty-aware principal component analysis (UA-PCA) and a series of images that show dimensionality reduction plots created with UA-PCA. The software is a JavaScript library for performing principal component analysis and dimensionali...

Data for: Create a Fluid-Structure Simulation Framework for Cycloidal Rotors

Dec 7, 2022 - Cyclorotor

Schließus, Julian; Gagnon, Louis, 2022, "Data for: Create a Fluid-Structure Simulation Framework for Cycloidal Rotors", https://doi.org/10.18419/darus-2232, DaRUS, V2

OpenFOAM simulation case files and results accompanying the article having the same title are included. The pressure and velocity fields could be visualized by using Paraview. The cases are described in the Bachelor Thesis referenced under Related Publication. For details how to...

Replication Data for: Anti-Zeno purification of spin baths by quantum probe measurements

Dec 6, 2022 - 3rd Physics Institute

Dasari, Durga, 2022, "Replication Data for: Anti-Zeno purification of spin baths by quantum probe measurements", https://doi.org/10.18419/darus-3262, DaRUS, V2, UNF:6:5LGVz9ukvWRrstHZVproWQ== [fileUNF]

Datasets to reproduce all plots in the paper. Each spreadsheet (xls file) contains the horizontal and vertical data of a subfigure. The experimental data is produced from the low temperature confocal microscopy setup measuring the fluorescence (photon count) of a color center in...

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