DESPASITO: A Python Package for SAFT EOS Parametrization and Thermodynamic Calculations

DESAPSITO is an open-source Python package that provides access to complex thermodynamic calculations, with a special interest in the statistical associating fluid theory (SAFT) equation of state.The modular design of DESPASITO provides an extensible architecture that could be easily customized or extended by other researchers.The currently supported equations of state (SAFT--Mie, SAFT--SW, and Peng-Robinson) thoroughly represent the dynamic use of this platform and its intentional design for expansion.This growth mindset extends into the other modules, as additional thermodynamic calculations and parameter fitting routines may be included.Nonetheless, the current state of DESPASITO can be employed by the simulation community for coarse-grained force field development with SAFT--Mie.The DESPASITO package is available from PyPI and its source code is hosted on GitHub, which provides a platform for community-driven contributions and feedback.

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Publication Details

Journal
The Journal of Open Source Software
Published
2025-02-07
DOI
https://doi.org/10.21105/joss.07365
Citations
3
Primary Topic
Phase Equilibria and Thermodynamics
Type
article
Field-Weighted Citation Impact
2.02

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article

DESPASITO: A Python Package for SAFT EOS Parametrization and Thermodynamic Calculations

Nathan Duff, Erik E. Santiso, Andrew Abi-Mansour, Jennifer A. Clark
3 citations
The Journal of Open Source Software
Phase Equilibria and Thermodynamics
2.02
article

DESPASITO: A Python Package for SAFT EOS Parametrization and Thermodynamic Calculations

Nathan Duff, Erik E. Santiso, Andrew Abi-Mansour, Jennifer A. Clark
article en
3 citations

Abstract

DESAPSITO is an open-source Python package that provides access to complex thermodynamic calculations, with a special interest in the statistical associating fluid theory (SAFT) equation of state.The modular design of DESPASITO provides an extensible architecture that could be easily customized or extended by other researchers.The currently supported equations of state (SAFT--Mie, SAFT--SW, and Peng-Robinson) thoroughly represent the dynamic use of this platform and its intentional design for expansion.This growth mindset extends into the other modules, as additional thermodynamic calculations and parameter fitting routines may be included.Nonetheless, the current state of DESPASITO can be employed by the simulation community for coarse-grained force field development with SAFT--Mie.The DESPASITO package is available from PyPI and its source code is hosted on GitHub, which provides a platform for community-driven contributions and feedback.

The Journal of Open Source SoftwareVol. 10(106)
North Carolina State University (US), Molecular Sciences Software Institute (US)
National Science Foundation
Openalex Percentile: Top 16%
Phase Equilibria and Thermodynamics
2.02
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