DOE OSTI · 2000483
Framework for Optimization, Quantification of Uncertainty and Surrogates – Updated Capabilities
Abstract
This poster presents updated capabilities within the FOQUS Toolset, covering core features as well as project-based applications. Specifically, the poster highlights advancements in FOQUS integration with cloud-based clients, plugin support for machine learning tools and external simulations, sequential design of experiments, and advanced support for dynamic process models. The applications demonstrate the breadth of FOQUS predictive capabilities for chemical, energy and economic system analysis.
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Paul, Brandon, Deshpande, Anuja, Zamarripa-Perez, Miguel A., Boverhof, Josh, Sotorrio, Pedro, Bartoldson, Brian, Caballero, Daison, Hughes, Ryan, Matuszewski, Michael, Omell, Benjamin. 2022-08-15. Framework for Optimization, Quantification of Uncertainty and Surrogates – Updated Capabilities. https://www.osti.gov/biblio/2000483
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