Package: espei
Documentation:espei.org.ESPEI, or Extensible Self-optimizing Phase Equilibria Infrastructure, is a tool for creating CALPHAD databases and evaluating the uncertanity of CALPHAD models.
The purpose of ESPEI is to be both a user tool for fitting state-of-the-art CALPHAD-type models and to be a research platform for developing methods for fitting and uncertainty quantification.
ESPEI usespycalphadfor the thermodynamic backend and supports fitting adjustable parameters for any pycalphad model.ESPEI is developed in the open onGitHub.
The project is led by Brandon Bocklund, who is currently a postdoctoral researcher at Lawrence Livermore National Laboratory.
Brandon developed ESPEI while completing his Ph.D. under Zi-Kui Liu at The Pennsylvania State University.
See the project’sHistoryfor more details.What does ESPEI do?Parameter generationESPEI can be used to generate model parameters for CALPHAD models of the Gibbs energy that follow the temperature-dependent power series expansion of the Gibbs energy within the compound energy formalism (CEF) for endmembers and for binary and ternary Redlich-Kister interaction parameters with Muggianu extrapolation.
This parameter generation step augments the CALPHAD modeler by providing tools for data-driven model selection, rather than relying on a modeler’s intuition alone.
Model generation is based on a linear regression of enthalpy, entropy, and heat capacity data, using the corrected Akiake Information Criterion (AICc) to prevent overfitting.Optimization and uncertainty quantificationESPEI can optimize and quantify the uncertainty of CALPHAD model parameters to thermochemical and phase boundary data.
Optimization and uncertainty quantification is performed using a Bayesian ensemble Markov Chain Monte Carlo (MCMC) method.
Any CALPHAD database can be used, including databases generated by ESPEI or starting from an existing CALPHAD database.ESPEI supports all models supported by pycalphad.
User-developed models that are compatible with pycalphad can be used without making any modifications to ESPEI’s code.
Performing Bayesian parameter estimation for arbitrary multicomponent thermodynamic data is supported.Cu-Mg phase diagram from a database created with and optimized by ESPEI.
See theCu-Mg Example.Installingpip (recommended)To install ESPEI from PyPI using pip:pipinstall-Upippipinstall-UespeiA recommended best practice is to install Python packages into a virtual environment.
To create an environment and install ESPEI on Linux and macOS/OSX:python-mvenvcalphad-envsourcecalphad-env/bin/activatepipinstall-Upippipinstall-UpycalphadOn Windows:python -m venv calphad-env
calphad-env\Scripts\activate
pip install -U pip
pip install -U pycalphadAnacondaIf you prefer using Anaconda, ESPEI is distributed on conda-forge.
If you do not have Anaconda installed, we recommend you download and installMiniconda3.
ESPEI can be installed with the conda package manager by:condainstall-cconda-forgeespeiHistoryThe name ESPEI and early concept were developed by[Shang2010]under the supervision of Zi-Kui Liu.
After developingpycalphad, Richard Otis and Zi-Kui Liu reimagined the concept and wrotepycalphad-fitting(used in[Otis2016]and[Otis2017]), which formed the nucleus for the present version of ESPEI ([Bocklund2019]).Details on the implementation of ESPEI can be found in the following publications:B. Bocklundet al., MRS Communications 9(2) (2019) 1–10. doi:10.1557/mrc.2019.59.B. Bocklund, Ph.D. Dissertation (Chapter 3), The Pennsylvania State University (2021),https://etda.libraries.psu.edu/catalog/21192bjb54Getting HelpFor help on installing and using ESPEI, please join thePhasesResearchLab/ESPEI Gitter room.Bugs and software issues should be reported on theGitHub issue tracker.LicenseESPEI is MIT licensed.The MIT License (MIT)

Copyright (c) 2015-2018 Richard Otis
Copyright (c) 2017-2018 Brandon Bocklund
Copyright (c) 2018-2019 Materials Genome Foundation

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
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The above copyright notice and this permission notice shall be included in all
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.Citing ESPEIIf you use ESPEI for work presented in a publication, we ask that you cite the following publication:Bocklund, R. Otis, A. Egorov, A. Obaied, I. Roslyakova, Z.-K. Liu, ESPEI for efficient thermodynamic database development, modification, and uncertainty quantification: application to Cu–Mg, MRS Commun. (2019) 1–10. doi:10.1557/mrc.2019.59.@article{Bocklund2019ESPEI,
         archivePrefix = {arXiv},
         arxivId = {1902.01269},
         author = {Bocklund, Brandon and Otis, Richard and Egorov, Aleksei and Obaied, Abdulmonem and Roslyakova, Irina and Liu, Zi-Kui},
         doi = {10.1557/mrc.2019.59},
         eprint = {1902.01269},
         issn = {2159-6859},
         journal = {MRS Communications},
         month = {jun},
         pages = {1--10},
         title = {{ESPEI for efficient thermodynamic database development, modification, and uncertainty quantification: application to Cu–Mg}},
         year = {2019}
}[Bocklund2019]Bocklundet al., MRS Communications 9(2) (2019) 1–10. doi:10.1557/mrc.2019.59[Otis2016]Otis, Ph.D. Dissertation, The Pennsylvania State University (2016).https://etda.libraries.psu.edu/catalog/s1784k73d[Otis2017]Otiset al., JOM 69 (2017) doi:10.1007/s11837-017-2318-6[Shang2010]Shang, Wang, and Liu, Magnes. Technol. 2010 617-622 (2010).