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DOE OSTI · 2566797

Scalable Computational Methods for Sequential, Science-Based Design of Experiments using Pyomo.DoE

Abstract

Presentation explaining the new advancements for optimal design of sequential experimental campaign. Scalable computation was achieved through decomposition strategies on models relevant to initiatives across the IDAES software and supporting research portfolio (e.g., PrOMMiS, CCSI2).

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BibTeXRIS

Laky, Daniel [University of Notre Dame], Dowling, Alexander [University of Notre Dame]. 2025-04-08. Scalable Computational Methods for Sequential, Science-Based Design of Experiments using Pyomo.DoE. https://doi.org/10.2172/2566797

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