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

301 to 310 of 973 Results
weak_inputs_hawk.tar
Jun 27, 2023 - Replication Data for: Leveraging the compute power of two HPC systems for higher-dimensional grid-based simulations with the widely-distributed sparse grid combination technique
TAR Archive - 32.2 GB - MD5: c18ce246742702cef081a62afedf3f1d
preprocessingreadme
weak_inputs_ng.tar
Jun 27, 2023 - Replication Data for: Leveraging the compute power of two HPC systems for higher-dimensional grid-based simulations with the widely-distributed sparse grid combination technique
TAR Archive - 32.2 GB - MD5: e840add3407aa705921bdb785aa131d1
input
weak_symmetric_1_hawk.tar
Jun 27, 2023 - Replication Data for: Leveraging the compute power of two HPC systems for higher-dimensional grid-based simulations with the widely-distributed sparse grid combination technique
TAR Archive - 85.6 MB - MD5: 90cf1ebd47eca1b06a3ed75161ad0d07
output
weak_symmetric_1_ng.tar
Jun 27, 2023 - Replication Data for: Leveraging the compute power of two HPC systems for higher-dimensional grid-based simulations with the widely-distributed sparse grid combination technique
TAR Archive - 42.6 MB - MD5: 00254686082aa2b41a61b48d0c0cf7ef
output
weak_symmetric_2_hawk.tar
Jun 27, 2023 - Replication Data for: Leveraging the compute power of two HPC systems for higher-dimensional grid-based simulations with the widely-distributed sparse grid combination technique
TAR Archive - 125.3 MB - MD5: 711198a1cf75b4293c082d6053a2a9de
output
weak_symmetric_2_ng.tar
Jun 27, 2023 - Replication Data for: Leveraging the compute power of two HPC systems for higher-dimensional grid-based simulations with the widely-distributed sparse grid combination technique
TAR Archive - 62.7 MB - MD5: 244ba93114a8170511758a99a33f81de
output
weak_symmetric_4_hawk.tar
Jun 27, 2023 - Replication Data for: Leveraging the compute power of two HPC systems for higher-dimensional grid-based simulations with the widely-distributed sparse grid combination technique
TAR Archive - 146.0 MB - MD5: 767a6a43fdc76f1e42950475420ce1d3
output
weak_symmetric_4_ng.tar
Jun 27, 2023 - Replication Data for: Leveraging the compute power of two HPC systems for higher-dimensional grid-based simulations with the widely-distributed sparse grid combination technique
TAR Archive - 73.5 MB - MD5: a92fb03fbb9d20839e418a3b29cb7ba7
output
Replication Data for: A mass-conserving sparse grid combination technique with biorthogonal hierarchical basis functions for kinetic simulations
Apr 20, 2023 - Publications
Pollinger, Theresa, 2022, "Replication Data for: A mass-conserving sparse grid combination technique with biorthogonal hierarchical basis functions for kinetic simulations", https://doi.org/10.18419/DARUS-2790, DaRUS, V2
Replication data for advection, Landau damping, and two-stream instability experiments with mass-conserving basis functions (vs hat functions) in the combination technique. The simulations are based on the DisCoTec and SeLaLib codes. If you want to re-generate the numerical data, please follow the steps in README_replication.md. Each scenario or se...
advection_end_2023.tar
Apr 20, 2023 - Replication Data for: A mass-conserving sparse grid combination technique with biorthogonal hierarchical basis functions for kinetic simulations
TAR Archive - 203.5 MB - MD5: b8971c0058f9ce46155e9abdc13ac4ee
Data
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.