Publications

Data for publications of the SC group.

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1 to 10 of 38 Results

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
advection_mass_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 - 959.4 MB - MD5: d7360b9666a549a57259fa40a06c001a Data
advection_time_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 - 2.0 GB - MD5: ef646949b718a41f613355f7ce68d0c9 Data
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
case6-100mio.py Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers Python Source Code - 6.8 KB - MD5: 097a88bd4e844a2546906f6fe1e1a6ee Code
espresso-4.1.2+generic_dd-1.zip Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers ZIP Archive - 17.1 MB - MD5: e4819b09c36c4e2c979e08675690d99e ESPResSo 4.1.2 with generic_dd module to use librepa as backend to ESPResSo.
espresso-old_custom.zip Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers ZIP Archive - 25.4 MB - MD5: 2446b934682eae85e73df79ab1b2f634 Old version of ESPResSo with custom additions to perform coupled load-balancing.
extract-all.awk Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers application/x-awk - 487 B - MD5: ebbfc9c5578973c2482d8bd1e434825d CodePostprocessing
flowfield_patch_for_ESPResSo-4.1.2+generic_dd.diff Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers text/x-patch - 17.1 KB - MD5: 5985e01a97ae681e50e8d5781c05ec21 Patch to allow for the inclusion of an external time-dependent flow field like in our soot particle agglomeration simulation methodology.

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 -

Data

advection_mass_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 - 959.4 MB -

Data

advection_time_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 - 2.0 GB -

Data

agglomerate-1954.txt

Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers

Plain Text - 144.2 KB -

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 -

CodePostprocessing

case6-100mio.py

Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers

Python Source Code - 6.8 KB -

Code

espresso-4.1.2+generic_dd-1.zip

Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers

ZIP Archive - 17.1 MB -

ESPResSo 4.1.2 with generic_dd module to use librepa as backend to ESPResSo.

espresso-old_custom.zip

Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers

ZIP Archive - 25.4 MB -

Old version of ESPResSo with custom additions to perform coupled load-balancing.

extract-all.awk

Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers

application/x-awk - 487 B -

CodePostprocessing

flowfield_patch_for_ESPResSo-4.1.2+generic_dd.diff

Jun 7, 2021 - Replication Data for: Load-Balancing for Scalable Simulations with Large Particle Numbers

text/x-patch - 17.1 KB -

Patch to allow for the inclusion of an external time-dependent flow field like in our soot particle agglomeration simulation methodology.

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