Stuttgart Center for Simulation Science (SC SimTech)

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281 to 290 of 21,173 Results

Grid_Conv.tar.xz Jan 14, 2025 - Replication Data for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures XZ Archive - 2.2 MB - MD5: 7f547fb50787e068753e2edd42f185cf
gspine: A Human Spine Model Built Using Literature Data Jan 13, 2025 - demoa Hammer, Maria; Riede, Julia Maria; Meszaros-Beller, Laura; Schmitt, Syn, 2022, "gspine: A Human Spine Model Built Using Literature Data", https://doi.org/10.18419/DARUS-2814, DaRUS, V4 A fully articulating human spine model parametrised using generic literature data for the geometry of the skeleton including attachment points for ligaments and muscles. The model is prepared to run muscle-driven simulations using a simple biological motor control model. The file contains an archive including all relevant data to run the simulation...
gspine1.2.tar Jan 13, 2025 - gspine: A Human Spine Model Built Using Literature Data TAR Archive - 3.9 MB - MD5: 7b4591d5a4478bca19270bce74f1341a Generic spine Model v1.2 compatible with demoa v3.0
PN 3-15(Universität Stuttgart) Jan 10, 2025PN 3 Bottom-up modeling of conducting porous materials via molecular simulation
demoa-manual-v3.pdf Jan 8, 2025 - demoa-base: a biophysics simulator for muscle-driven motion Adobe PDF - 855.5 KB - MD5: 46608738d337606086689492d4f07062 demoa version 3.0 manual
Models and Prepared Datasets for Iterative Modeling of Two Heat Pumps Jan 7, 2025 - Surrogate models for groundwater flow simulations Zhang, Xiaoyu, 2024, "Models and Prepared Datasets for Iterative Modeling of Two Heat Pumps", https://doi.org/10.18419/DARUS-4518, DaRUS, V3 Prepared datasets and models for iterative modeling of heat plumes in groundwater. Models were trained with Iterative modeling. File explanation: 1HP.zip This zip file contains all prepared datapoints with a single heat pump. The input data fields are pressure, permeability, position of the heat pump, normalized distance to the heat pump, and tempe...
unet_para_f64_d5_k4_pcs_2500dp.zip Jan 7, 2025 - Models and Prepared Datasets for Iterative Modeling of Two Heat Pumps ZIP Archive - 813.8 MB - MD5: 3c5f8ee53e45f1a67870a2417bef7dd4
unet_quad_f64_d5_k4_2500dp.zip Jan 7, 2025 - Models and Prepared Datasets for Iterative Modeling of Two Heat Pumps ZIP Archive - 806.9 MB - MD5: 0d329e714747cabd00c5028bec1c70c0
unet_stand_f64_d5_k4_2500dp.zip Jan 7, 2025 - Models and Prepared Datasets for Iterative Modeling of Two Heat Pumps ZIP Archive - 799.2 MB - MD5: 2f56a18ad50b50024b95043d7531d484
Models and Prepared Datasets for Convolutional Long Short-Term Memory (ConvLSTM) Networks 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...

Grid_Conv.tar.xz

Jan 14, 2025 - Replication Data for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures

XZ Archive - 2.2 MB -

gspine: A Human Spine Model Built Using Literature Data

Jan 13, 2025 - demoa

Hammer, Maria; Riede, Julia Maria; Meszaros-Beller, Laura; Schmitt, Syn, 2022, "gspine: A Human Spine Model Built Using Literature Data", https://doi.org/10.18419/DARUS-2814, DaRUS, V4

A fully articulating human spine model parametrised using generic literature data for the geometry of the skeleton including attachment points for ligaments and muscles. The model is prepared to run muscle-driven simulations using a simple biological motor control model. The file contains an archive including all relevant data to run the simulation...

gspine1.2.tar

Jan 13, 2025 - gspine: A Human Spine Model Built Using Literature Data

TAR Archive - 3.9 MB -

Generic spine Model v1.2 compatible with demoa v3.0

PN 3-15(Universität Stuttgart)

Jan 10, 2025PN 3

Bottom-up modeling of conducting porous materials via molecular simulation

demoa-manual-v3.pdf

Jan 8, 2025 - demoa-base: a biophysics simulator for muscle-driven motion

Adobe PDF - 855.5 KB -

demoa version 3.0 manual

Models and Prepared Datasets for Iterative Modeling of Two Heat Pumps

Jan 7, 2025 - Surrogate models for groundwater flow simulations

Zhang, Xiaoyu, 2024, "Models and Prepared Datasets for Iterative Modeling of Two Heat Pumps", https://doi.org/10.18419/DARUS-4518, DaRUS, V3

Prepared datasets and models for iterative modeling of heat plumes in groundwater. Models were trained with Iterative modeling. File explanation: 1HP.zip This zip file contains all prepared datapoints with a single heat pump. The input data fields are pressure, permeability, position of the heat pump, normalized distance to the heat pump, and tempe...

unet_para_f64_d5_k4_pcs_2500dp.zip

Jan 7, 2025 - Models and Prepared Datasets for Iterative Modeling of Two Heat Pumps

ZIP Archive - 813.8 MB -

unet_quad_f64_d5_k4_2500dp.zip

Jan 7, 2025 - Models and Prepared Datasets for Iterative Modeling of Two Heat Pumps

ZIP Archive - 806.9 MB -

unet_stand_f64_d5_k4_2500dp.zip

Jan 7, 2025 - Models and Prepared Datasets for Iterative Modeling of Two Heat Pumps

ZIP Archive - 799.2 MB -

Models and Prepared Datasets for Convolutional Long Short-Term Memory (ConvLSTM) Networks

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...

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