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CITATION.cff
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121 lines (121 loc) · 3.69 KB
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cff-version: 1.2.0
message: If you use this software, please cite it using these metadata.
title: STable AutoCorrelation Integral Estimator (STACIE)
type: software
url: https://molmod.github.io/stacie/
keywords:
- molecular dynamics
- post-processing
- autocorrelation integral
- time correlation
- transport properties
- characteristic timescales
- uncertainty quantification
- exponential correlation time
- integrated correlation time
- autocorrelation function
- ACF
- power spectral distribution
- PSD
- Python package
- LGPL
- open source
- scientific computing
- data analysis
- STACIE
abstract: >-
STACIE is a Python package for post-processing molecular dynamics simulations,
but it can also be used for more general analysis of time-correlated data.
Typical applications include estimating transport properties,
uncertainties of averages over time-correlated data,
and analysis of characteristic timescales.
authors:
- family-names: Gözdenur
given-names: Toraman
orcid: https://orcid.org/0000-0001-6785-333X
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.15744666
description: Concept DOI for STACIE software deposited on Zenodo
references:
- authors:
- family-names: Toraman
given-names: Gözdenur
- family-names: Fauconnier
given-names: Dieter
- family-names: Verstraelen
given-names: Toon
title: >-
The AutoCorrelation Integral Drill (ACID)
doi: 10.5281/zenodo.15722902
type: data
identifiers:
- description: Concept DOI of the ACID dataset used to validate STACIE
type: doi
value: 10.5281/zenodo.15722902
- authors:
- family-names: Toraman
given-names: Gözdenur
- family-names: Verstraelen
given-names: Toon
title: >-
Example Trajectory Data and Jupyter Notebooks Showing How to Compute Various Properties with STACIE
doi: 10.5281/zenodo.15543902
type: data
identifiers:
- description: >-
Concept DOI of the dataset containing example usage of STACIE
(Jupyter notebooks and trajectory data)
type: doi
value: 10.5281/zenodo.15543902
- authors:
- family-names: Toraman
given-names: Gözdenur
- family-names: Fauconnier
given-names: Dieter
- family-names: Verstraelen
given-names: Toon
title: >-
Reliable Viscosity Calculation from High-Pressure Equilibrium Molecular Dynamics:
Case Study of 2,2,4-Trimethylhexane
doi: 10.48550/arXiv.2603.11247
type: article
identifiers:
- description: preprint describing the Lorentz model and shear viscosity calculations with STACIE
type: doi
value: 10.48550/arXiv.2603.11247
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: 10.1021/acs.jcim.5c01475
type: article
identifiers:
- description: published journal article describing STACIE
type: doi
value: 10.1021/acs.jcim.5c01475
license: LGPL-3.0-or-later
repository-code: https://github.com/molmod/stacie