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pycalphad: CALPHAD-based Computational Thermodynamics in Python Cover

pycalphad: CALPHAD-based Computational Thermodynamics in Python

By: Richard Otis and  Zi-Kui Liu  
Open Access
|Jan 2017

Abstract

The pycalphad software package is a free and open-source Python library for designing thermodynamic models, calculating phase diagrams and investigating phase equilibria using the CALPHAD method. It provides routines for reading thermodynamic databases and solving the multi-component, multi-phase Gibbs energy minimization problem. The pycalphad software project advances the state of thermodynamic modeling by providing a flexible yet powerful interface for manipulating CALPHAD data and models. The key feature of the software is that the thermodynamic models of individual phases and their associated databases can be programmatically manipulated and overridden at run-time without modifying any internal solver or calculation code. Because the models are internally decoupled from the equilibrium solver and the models themselves are represented symbolically, pycalphad is an ideal tool for CALPHAD database development and model prototyping.

DOI: https://doi.org/10.5334/jors.140 | Journal eISSN: 2049-9647
Language: English
Submitted on: Aug 9, 2016
Accepted on: Nov 10, 2016
Published on: Jan 9, 2017
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2017 Richard Otis, Zi-Kui Liu, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.