1 to 7 of 7 Results
Feb 14, 2024 - Institute of Aerodynamics and Gas Dynamics
Gagnon, Louis; Lutz, Thorsten, 2024, "Data for: Transforming Laser-Scanned 750 kW Turbine Surface Geometry Data into Smooth CAD for CFD Simulations", https://doi.org/10.18419/darus-3859, DaRUS, V1
Note for access: The data is available to anyone interested, but in order to monitor access, we ask that interested users request access by logging in by using the account of their academic institution, selecting the files they want, and clicking "Request Access" If you do not ha... |
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... |
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... |
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... |
Nov 2, 2022 - PN 5-6
Praditia, Timothy; Karlbauer, Matthias; Otte, Sebastian; Oladyshkin, Sergey; Butz, Martin V.; Nowak, Wolfgang, 2022, "Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network", https://doi.org/10.18419/darus-3249, DaRUS, V1
This dataset contains diffusion-sorption data, generated with numerical simulation based on three different sorption isotherms, namely the linear, Freundlich, and Langmuir isotherms. This dataset is used to train, validate, and test all the deep learning models that are used in t... |
Tapia Camú, Cristóbal; Aicher, Simon, 2021, "Replication Data for: Survival analysis of tensile strength variation and simulated length-size effect along oak boards", https://doi.org/10.18419/darus-864, DaRUS, V2, UNF:6:C43cTFx3ny8kNxl+93ca+g== [fileUNF]
Dataset used to develop and calibrate the model for localized tensile strength along oak boards. A survival (or censored) analysis is performed on the cell-wise tensile strength of boards, which delivers coefficients for two different candidate distributions: (i) Beta and (ii) 3-... |
Tapia Camú, Cristóbal; Aicher, Simon, 2020, "Replication Data for: Simulation of the localized modulus of elasticity of hardwood boards by means of an autoregressive model", https://doi.org/10.18419/darus-863, DaRUS, V2, UNF:6:3jJ2Tj1s/C8WfiVWORPRtw== [fileUNF]
This repository contains the global and localized data gathered for a set of 52 oak boards with a cross-section of 175 x 24 mm. Modulus of elasticity, density and knot information were recorded. |
