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    Constrained reduced-order modeling using bounded Gaussian processes for physically consistent reacting flow predictions por Muhammad Azam Hafeez, Alberto Procacci, Axel Coussement, Alessandro Parente

    Publicado 2025-09-01

    Reduced-order models offer a cost-effective and accurate approach to analyzing high-dimensional combustion problems. These surrogate models are built in a data-driven manner by combining computational fluid dynamics simulations with Proper Orthogonal Decomposition (POD) for dimensionality reduction...

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