Science Score: 67.0%
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Repository
The AutoCorrelation Integral Drill (ACID) Test Set
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Metadata Files
README.md
The AutoCorrelation Integral Drill (ACID) Test Set
This repository contains the scripts and StepUp workflows to regenerate the "AutoCorrelation Integral Drill" (ACID) test set. The ACID test set comprises a diverse collection of algorithmically generated time series designed to evaluate the performance of algorithms that compute the autocorrelation integral. The set contains in total 15360 test cases, and each case consists of one or more time series. The cases differ in the kernel characterizing the time correlations, the number of time series, and the length of the time series. For each combination of kernel, number of sequences and sequence length, 64 test cases are generated with different random seeds to allow for a systematic validation of uncertainty estimates. The total dataset, once generated, is about 80 GB in size.
In addition to the ACID test set, this repository also contains scripts and workflows to validate STACIE, a software package for the computation of the autocorrelation integral.
A description of the dataset, a summary of the validation results, and an archived version of this repository can be found on Zenodo: 10.5281/zenodo.15722903.
License
All files in this dataset are licensed under a Creative Commons Attribution Non Commercial Share Alike 4.0 International.
Citation
If you use this dataset in your research, please cite the following priprint:
Gözdenur, T.; Fauconnier, D.; Verstraelen, T. "STable AutoCorrelation Integral Estimator (STACIE): Robust and accurate transport properties from molecular dynamics simulations" arXiv 2025, arXiv:2506.20438
bibtex @article{Toraman2025, title = {STable AutoCorrelation Integral Estimator (STACIE): Robust and accurate transport properties from molecular dynamics simulations}, url = {https://arxiv.org/abs/2506.20438}, doi = {10.48550/arXiv.2506.20438} publisher = {arXiv}, author = {G\"{o}zdenur Toraman and Dieter Fauconnier and Toon Verstraelen}, year = {2025}, month = jun }
Overview
This repository contains three smaller projects:
acid-dataset/: A workflow to generate the ACID test set.validation-staciei-calc/: A workflow to recompute the validation of STACIE with the ACID test set.validation-stacie-report/: A workflow with post-processing scripts of the validation results to regenerate the figures and tables used in the STACIE paper.
The README.md files in these directories provide more details about each project.
Setup of the Python Virtual Environment
The script setup-venv-pip.sh in the root directory of this repository
sets up a Python virtual environment with the required dependencies.
In order to run this script, you need to have Python 3.11 or later installed on your system.
The script is primarily tested on Linux, but may also work on other operating systems.
It is recommended to install and setup direnv
to automatically activate the virtual environment when you enter the repository directory.
Owner
- Name: Center for Molecular Modeling (CMM), Ghent University
- Login: molmod
- Kind: organization
- Location: Belgium
- Website: http://molmod.ugent.be
- Repositories: 16
- Profile: https://github.com/molmod
Technologiepark 46, 9052 Zwijnaarde, Belgium
Citation (CITATION.cff)
cff-version: 1.2.0
message: If you use this software, please cite it using these metadata.
title: The AutoCorrelation Integral Drill (ACID) Test Set
abstract: >-
This repository contains the scripts and StepUp workflows to regenerate
the "AutoCorrelation Integral Drill" (ACID) test set.
The ACID test set comprises a diverse collection of algorithmically generated time series
designed to evaluate the performance of algorithms that compute the autocorrelation integral.
The set contains in total 15360 test cases, and each case consists of one or more time series.
The cases differ in the kernel characterizing the time correlations, the number of time series,
and the length of the time series.
For each combination of kernel, number of sequences and sequence length,
64 test cases are generated with different random seeds
to allow for a systematic validation of uncertainty estimates.
The total dataset, once generated, is about 80 GB in size.
authors:
- family-names: Toraman
given-names: Gözdenur
orcid: https://orcid.org/0000-0001-6785-333X
affiliation: >-
Labo Soete,
Ghent University,
Technologiepark-Zwijnaarde 46,
B-9052,
Ghent,
Belgium
- family-names: Fauconnier
given-names: Dieter
orcid: https://orcid.org/0000-0002-0257-4687
affiliation: >-
Labo Soete,
Ghent University,
Technologiepark-Zwijnaarde 46,
B-9052,
Ghent,
Belgium
- family-names: Verstraelen
given-names: Toon
orcid: https://orcid.org/0000-0001-9288-5608
affiliation: >-
Center for Molecular Modeling (CMM),
Ghent University,
Technologiepark-Zwijnaarde 46,
B-9052,
Zwijnaarde, Belgium
identifiers:
- type: doi
value: 10.5281/zenodo.15722903
description: The concept DOI of the work.
preferred-citation:
authors:
- family-names: Toraman
given-names: Gözdenur
- family-names: Fauconnier
given-names: Dieter
- family-names: Verstraelen
given-names: Toon
title: >-
STable AutoCorrelation Integral Estimator (STACIE):
Robust and accurate transport properties from molecular dynamics simulations
doi: 10.48550/arXiv.2506.20438
type: article
identifiers:
- description: arXiv preprint describing STACIE
type: doi
value: 10.48550/arXiv.2506.20438
license: LGPL-3.0-or-later
repository-code: https://github.com/molmod/acid
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Dependencies
- emcee ==3.1.6
- matplotlib ==3.10.1
- numpy ==2.2.3
- path ==17.0.0
- pre-commit ==4.1.0
- pytest ==8.3.5
- scipy ==1.15.2
- stepup ==3.0.3
- stepup-queue ==1.0.5
- stepup-reprep ==3.1.0
- zarr ==3.0.8
- 116 dependencies