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DOE OSTI · 3684021

Optimal experimental design using eigenvalue-based criteria with Pyomo.DoE

Laky, Daniel [University of Notre Dame]·Lilonfe, Shammah [University of Notre Dame]·Martin, Shawn [Sandia National Laboratories (SNL)]·Klise, Katherine [Sandia National Laboratories (SNL)]·Nicholson, Bethany [Sandia National Laboratories (SNL)]·Sirrola, John Daniel [Sandia National Laboratories (SNL)]·Dowling, Alexander [University of Notre Dame] (ORCID:0000000193837499)
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Abstract

New developments in automated optimal experimental design within the PSE+ software ecosystem. Advancements in user experience (to reduce the time taken to perform optimal experiment design) and computational capabilities (allowing more diverse experimental design) are shown with an example relevant to critical minerals and materials. Also, a small tutorial on science-based optimal experimental design and novel contributions therein are presented.

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97 MATHEMATICS AND COMPUTINGcritical minerals recoverydesign of experimentsmodel building

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Laky, Daniel [University of Notre Dame], Lilonfe, Shammah [University of Notre Dame], Martin, Shawn [Sandia National Laboratories (SNL)], Klise, Katherine [Sandia National Laboratories (SNL)], Nicholson, Bethany [Sandia National Laboratories (SNL)], Sirrola, John Daniel [Sandia National Laboratories (SNL)], Dowling, Alexander [University of Notre Dame] (ORCID:0000000193837499). 2026-07-15. Optimal experimental design using eigenvalue-based criteria with Pyomo.DoE. https://doi.org/10.1039/d6dd00160b

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