201 to 210 of 679 Results
Apr 7, 2025 -
DuMux 3.10.0
Gzip Archive - 38.9 MB -
MD5: 101e9e32bc08e58e79ef09a9d9c21452
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Mar 15, 2025 - Model comparison for LTNE processes in porous media - conduction
Stefansson, Ivar, 2025, "PorePy code for REV simulations for: "Local Thermal Non-Equilibrium Models in Porous Media: A Comparative Study of Conduction effects"", https://doi.org/10.18419/DARUS-4785, DaRUS, V1
This dataset contains the source code to reproduce the simulations for the REV-scale model presented in Kostelecky et al., Local Thermal Non-Equilibrium Models in Porous Media: A Comparative Study of Conduction effects, International Journal of Heat and Mass Transfer. \TODO: add doi after acceptance. Files REV_ltne.tar: compressed docker image (See... |
Mar 15, 2025 -
PorePy code for REV simulations for: "Local Thermal Non-Equilibrium Models in Porous Media: A Comparative Study of Conduction effects"
Markdown Text - 1.7 KB -
MD5: 9f06db49501b70dad0f2c6405392916e
Contains information on how the folder local_thermal_non-equilibrium inside the Docker image is structured. |
Mar 15, 2025 -
PorePy code for REV simulations for: "Local Thermal Non-Equilibrium Models in Porous Media: A Comparative Study of Conduction effects"
TAR Archive - 1.5 GB -
MD5: 673e575c6b78515e57c8efb4cdb5e62e
Docker image for PorePy code including run scripts for reproducing the REV-scale model data. |
Dec 16, 2024 - Computational Biomechanics
Suditsch, Marlon; Wagner, Arndt; Ricken, Tim, 2024, "OncoTUM models", https://doi.org/10.18419/DARUS-4647, DaRUS, V1
OncoTUM models This repository hosts pretrained neural network models for OncoTUM, a key software package within the umbrella project Onco* for modelling and numerical simulations of tumours. OncoTUM is designed to facilitate tumour segmentations from medical images, leveraging state-of-the-art deep learning techniques. Purpose The pretrained model... |
Dec 16, 2024 -
OncoTUM models
Gzip Archive - 34.0 KB -
MD5: 91ce61bafac37076f37555d587cbb713
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Dec 16, 2024 -
OncoTUM models
Unknown - 416 B -
MD5: 16d97c4a2f33b4c17d2f3af41a8b87eb
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Dec 16, 2024 -
OncoTUM models
Unknown - 414 B -
MD5: 91cdff26727ba28fb8794dfe3177db0c
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Dec 16, 2024 -
OncoTUM models
Unknown - 437 B -
MD5: 660c4d380a690f173e7315ba7121b3d8
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Dec 16, 2024 -
OncoTUM models
Unknown - 414 B -
MD5: 8dc9f2e10718da751209f15ff23ab3a9
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