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311 to 320 of 20,124 Results
ZIP Archive - 799.2 MB - MD5: 2f56a18ad50b50024b95043d7531d484
Dec 19, 2024 - Surrogate models for groundwater flow simulations
Hofmann, Johanna, 2024, "Models and Prepared Datasets for Convolutional Long Short-Term Memory (ConvLSTM) Networks", https://doi.org/10.18419/DARUS-4514, DaRUS, V2
The dataset contains trained ConvLSTM models for heat plume extension and the prepared dataset for training and testing. In this repo the code for model training and dataset preparation is published. The last relevant git commit is 0a148e6131b98260. The prepared dataset for training is called ep_medium_1000dp_only_vary_dist inputs_ks. It consists o...
ZIP Archive - 683.6 MB - MD5: 6d85ec6273279e3ed81b683f747ed5b6
This file contains the dataset prepared for the ConvLSTM for heat plume extension.
PN 3A-8(Universität Stuttgart)
Dec 17, 2024PN 3
SimTech PN 3A-8: "Certified Coupled Model Order Reduction (CCMOR)"
PN 3-5(Universität Stuttgart)
Dec 17, 2024PN 3
SimTech Project PN 3-5 "Data-integrated Multiscale Modeling of Diffusion-driven Processes in Porous Media" and SimTech Project PN 3-5 (II) "Data-driven multi-scale stability analysis of multi-stimuli-responsive hydrogels"
Dec 16, 2024 - Usability and Sustainability of Simulation Software
Schneider, David; Uekermann, Benjamin, 2024, "Replication Data for: Efficient Partition-of-Unity Radial-Basis Function Interpolation for Coupled Problems", https://doi.org/10.18419/DARUS-4168, DaRUS, V1
This dataset contains software (preCICE v3.1.1 and ASTE) as well as setup files and instructions to reproduce the experiments of Schneider and Uekermann "Efficient Partition-of-Unity Radial-Basis Function Interpolation for Coupled Problems". We, moreover, provide the actual results. See the README for information on how to build and rerun the cases...
Gzip Archive - 1.1 MB - MD5: 33dca0ac733b93afa2ff50b755f48ddd
The artificial solver testing environment.
Gzip Archive - 4.9 MB - MD5: a40fb97b008c107ea2c9fa66de879d0b
Setup files and results files (csv)
Gzip Archive - 619.0 MB - MD5: 3c3fd41a1ce52ce6125b68f8dbc11af1
Gzip Archive - 1.6 MB - MD5: 3d5b9aa87e5b0e35901cb8f8fb5f475b
preCICE version 3.1.1, which was used for the experiments
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