Metrics
3,772,174 Downloads
Contact Share
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

16,041 to 16,050 of 16,109 Results
precice-docs-v2.2.pdf
precice-docs-v2.2.pdf
Sep 27, 2021 - preCICE Distribution Version v2104.0
Adobe PDF - 3.8 MB - MD5: 5a0272ed0391ce2c2812f912a10e00a2
Offline PDF version of the preCICE documentation
precice.github.io-master-928fd8d.tar.gz
Sep 27, 2021 - preCICE Distribution Version v2104.0
Gzip Archive - 18.1 MB - MD5: 2a8e313707b168fe3e3bb3958c08fa1e
preCICE website including documentation sources
python-bindings-2.2.0.2.tar.gz
Sep 27, 2021 - preCICE Distribution Version v2104.0
Gzip Archive - 50.4 KB - MD5: 137ac110c58804f61e515ed8b8fc51ae
Python language bindings of preCICE
README.md
Sep 27, 2021 - preCICE Distribution Version v2104.0
Markdown Text - 775 B - MD5: 224e7f49c62d47fc695e22674751baa7
su2-adapter-ab84387.tar.gz
Sep 27, 2021 - preCICE Distribution Version v2104.0
Gzip Archive - 246.3 KB - MD5: 92f8d58b4fd50dfad6d2f8b26bb6a6c2
preCICE adapter for the CFD code SU2
tutorials-202104.1.1.tar.gz
Sep 27, 2021 - preCICE Distribution Version v2104.0
Gzip Archive - 6.1 MB - MD5: 49693609843e40a31f4db34ff1f14f34
Tutorial cases for preCICE with real solvers
vm-202104.1.0.tar.gz
Sep 27, 2021 - preCICE Distribution Version v2104.0
Gzip Archive - 8.8 KB - MD5: e8200c521de7e8d0e8d4e19a7594a010
Vagrant box with preCICE and examples preinstalled
hiddenStatesVis.zip
Sep 10, 2021 - Visual Analytics System for Hidden States in Recurrent Neural Networks
ZIP Archive - 26.7 MB - MD5: 3d4914ce43619dfa073b0828ead09ee5
Source code of our approach.
agglomerate-1954.txt
Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers
Plain Text - 144.2 KB - MD5: 174db7a3a2b1469ba7d814d403813009
DataInput
Positions of the particles constituting the agglomerate. One particle position as X, Y, Z coordinates per row. Positions are measured in multiples of 20nm.
calculate_heterogeneity.py
Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers
Python Source Code - 6.6 KB - MD5: b503a4a5a9ef40732092551cef929d42
CodePostprocessing
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.