101 datasets found

Release notes: https://gitlab.kit.edu/kit/mpp/mpp/-/releases/3.6.0 Tested and benchmarked on Ubuntu 24.04

Folder for all the code and results described in "CLEO: The Fundamental Design for High Computational Performance of a New Superdroplet Model", Bayley et al. [GMD, in prep.]....

Build scripts, benchmark scripts, raw data, and analysis scripts accompanying the manuscript "Coupling ESPResSo and waLBerla for scalable soft matter simulations with...

Folder for all the code and results described in "CLEO: The Numerical Methods of a New Superdroplet Model including a Droplet Breakup Algorithm", Bayley et al. [GMD, in prep.].

Presentation Slides for the Project Austrian DataLAB and Services with description of the product vision and goals of the project.

The project Austrian DataLAB and Services was kicked off in Juli 2020 and involves eight universities across Austria. The partners work jointly on establishing a federated...

openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common...

This data repository contains the COM-4 model for the GEO.KW project. The dataset contains the PFLOTRAN and urbs simulation setup, spack build environment and spack build mirror...

Represent computations as Directed Acyclic Graphs (DAGs), analyze and optimize them, then compile to native code and run!

Generator for QED Feynman diagrams and ComputableDAGs.jl to compute scattering processes' matrix elements.

Represent computations as Directed Acyclic Graphs (DAGs), analyze and optimize them, then compile to native code and run!

Represent computations as Directed Acyclic Graphs (DAGs), analyze and optimize them, then compile to native code and run!

Represent computations as Directed Acyclic Graphs (DAGs), analyze and optimize them, then compile to native code and run!

Generator for QED Feynman diagrams and ComputableDAGs.jl to compute scattering processes' matrix elements.

Experiment run and plotting code, and produced data for the accompanying paper.

Reproducibility in running scientific simulations on high-performance computing (HPC) environments is a persistent challenge due to variations in software and hardware stacks....

Reproducibility in running scientific simulations on high-performance computing (HPC) environments is a persistent challenge due to variations in software and hardware stacks....

This dataset supports a systematic implementation of hybrid quantum-classical computational methods for investigating corrosion inhibition mechanisms on aluminum surfaces. The...

The development of novel double-hybrid density functionals offers new levels of accuracy, and is leading to fresh insights into the fundamental properties of matter....

Quantum ESPRESSO is an open-source distribution of computer codes for quantum-mechanical materials modeling, based on density-functional theory, pseudo-potentials, and plane...