.. _pyomo.doe:

Pyomo.DoE
=========
**Pyomo.DoE** (Pyomo Design of Experiments) is a Python library for model-based design 
of experiments using science-based models.

Pyomo.DoE was originally created by **Jialu Wang** and **Alexander W. Dowling** at the 
University of Notre Dame as part of the `Carbon Capture Simulation for Industry Impact 
(CCSI2) <https://github.com/CCSI-Toolset/>`_
project, funded through the U.S. Department Of Energy Office of Fossil Energy with 
assistance from **John Siirola**, **Bethany Nicholson**, **Miranda Mundt**, and **Hailey Lynch**.
Significant improvements and extensions were contributed by **Dan Laky**, and 
**Shuvashish Mondal** with funding from the 
`Process Optimization & Modeling for Minerals Sustainability (PrOMMiS) <https://www.netl.doe.gov/prommis>`_ project
and the `University of Notre Dame <https://www.nd.edu/>`_.

If you use Pyomo.DoE, please cite the [PyomoDOE-paper]_:
   Wang, Jialu, and Alexander W. Dowling. "Pyomo.DOE: An open‐source
   package for model‐based design of experiments in Python", *AIChE Journal*,
   68(12), e17813. 2022. DOI `10.1002/aic.17813 <https://doi.org/10.1002/aic.17813>`_

Index of Pyomo.DoE documentation
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.. toctree::
   :maxdepth: 2

   overview.rst
   guide.rst
   abstraction.rst
   objective.rst
   multexp.rst
   uncertainty.rst