Institute for Computational Physics

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331 to 340 of 1,014 Results

WRN_XS.json May 27, 2026 - Replication Data and Scripts for: "Spectral Reach: Understanding Neural Scaling as Progress into the Spectral Tail" JSON - 192 B - MD5: 008d03f356c644b9d4f794a1b26f9d3e
WRN_XXL.json May 27, 2026 - Replication Data and Scripts for: "Spectral Reach: Understanding Neural Scaling as Progress into the Spectral Tail" JSON - 195 B - MD5: bb04cb1c735fd3327b7df7336c3c970c
benchmarks.py Apr 1, 2026 - Replication Data for: Coupling ESPResSo and waLBerla for scalable soft matter simulations with hydrodynamic interactions Python Source Code - 3.8 KB - MD5: 85ba2c6b05f272f048493b7b744318f5 Common functions used by all benchmark scripts.
boost_build.sh Apr 1, 2026 - Replication Data for: Coupling ESPResSo and waLBerla for scalable soft matter simulations with hydrodynamic interactions Unknown - 539 B - MD5: 499da494c4fae9febd2f11fc0a429fae Build commands for the Boost libraries.
boost_fetch.sh Apr 1, 2026 - Replication Data for: Coupling ESPResSo and waLBerla for scalable soft matter simulations with hydrodynamic interactions Unknown - 242 B - MD5: b3140e20929ca1555330f3b1bd8857ba Download commands for the Boost libraries. Network connections to the MareNostrum supercomputer must be done through SSH, therefore software must be downloaded locally and uploaded to the supercomputer via SSH.
espresso.patch Apr 1, 2026 - Replication Data for: Coupling ESPResSo and waLBerla for scalable soft matter simulations with hydrodynamic interactions Unknown - 2.7 KB - MD5: 2cac212fec13dc1c7913276cd1158e98 Patch to improve ESPResSo 5.0.0 GPU algorithms performance on the MareNostrum 5 supercomputer.
python_build.sh Apr 1, 2026 - Replication Data for: Coupling ESPResSo and waLBerla for scalable soft matter simulations with hydrodynamic interactions Unknown - 448 B - MD5: 487249e24125b0f9e07239f293769857 Build commands for Python, and virtual environment setup.
python_fetch.sh Apr 1, 2026 - Replication Data for: Coupling ESPResSo and waLBerla for scalable soft matter simulations with hydrodynamic interactions Unknown - 447 B - MD5: 24b6109346b0edf465c1627263ff1061 Download commands for the Python source code and Python package wheels. Network connections to the MareNostrum supercomputer must be done through SSH, therefore software must be downloaded locally and uploaded to the supercomputer via SSH.
requirements.txt Apr 1, 2026 - Replication Data for: Coupling ESPResSo and waLBerla for scalable soft matter simulations with hydrodynamic interactions Plain Text - 70 B - MD5: 45076a9f03aa54404aa509a3c1d0880b List of Python package dependencies with minimal versions for data analysis and visualization.
asymmetric_charge.mp4 Feb 24, 2026 - Replication Data and Scripts for: Asymmetric Ionic Liquids for Enhanced Performance of Nanoporous Electrical Double Layer Capacitors Unknown - 11.3 MB - MD5: d16af1d1c5ba7aa6658df5c930d7d1df

WRN_XS.json

May 27, 2026 - Replication Data and Scripts for: "Spectral Reach: Understanding Neural Scaling as Progress into the Spectral Tail"

JSON - 192 B -

WRN_XXL.json

May 27, 2026 - Replication Data and Scripts for: "Spectral Reach: Understanding Neural Scaling as Progress into the Spectral Tail"

JSON - 195 B -

benchmarks.py

Apr 1, 2026 - Replication Data for: Coupling ESPResSo and waLBerla for scalable soft matter simulations with hydrodynamic interactions

Python Source Code - 3.8 KB -

Common functions used by all benchmark scripts.

boost_build.sh

Apr 1, 2026 - Replication Data for: Coupling ESPResSo and waLBerla for scalable soft matter simulations with hydrodynamic interactions

Unknown - 539 B -

Build commands for the Boost libraries.

boost_fetch.sh

Apr 1, 2026 - Replication Data for: Coupling ESPResSo and waLBerla for scalable soft matter simulations with hydrodynamic interactions

Unknown - 242 B -

Download commands for the Boost libraries. Network connections to the MareNostrum supercomputer must be done through SSH, therefore software must be downloaded locally and uploaded to the supercomputer via SSH.

espresso.patch

Apr 1, 2026 - Replication Data for: Coupling ESPResSo and waLBerla for scalable soft matter simulations with hydrodynamic interactions

Unknown - 2.7 KB -

Patch to improve ESPResSo 5.0.0 GPU algorithms performance on the MareNostrum 5 supercomputer.

python_build.sh

Apr 1, 2026 - Replication Data for: Coupling ESPResSo and waLBerla for scalable soft matter simulations with hydrodynamic interactions

Unknown - 448 B -

Build commands for Python, and virtual environment setup.

python_fetch.sh

Apr 1, 2026 - Replication Data for: Coupling ESPResSo and waLBerla for scalable soft matter simulations with hydrodynamic interactions

Unknown - 447 B -

Download commands for the Python source code and Python package wheels. Network connections to the MareNostrum supercomputer must be done through SSH, therefore software must be downloaded locally and uploaded to the supercomputer via SSH.

requirements.txt

Apr 1, 2026 - Replication Data for: Coupling ESPResSo and waLBerla for scalable soft matter simulations with hydrodynamic interactions

Plain Text - 70 B -

List of Python package dependencies with minimal versions for data analysis and visualization.

asymmetric_charge.mp4

Feb 24, 2026 - Replication Data and Scripts for: Asymmetric Ionic Liquids for Enhanced Performance of Nanoporous Electrical Double Layer Capacitors

Unknown - 11.3 MB -

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