How do you communicate and visualize the results and insights of ROM for CFD nonlinear and chaotic systems?

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Reduced order modeling (ROM) is a technique that simplifies complex and high-dimensional computational fluid dynamics (CFD) problems by extracting the most relevant features and dynamics of the system. ROM can reduce the computational cost and time of CFD simulations, but it also poses some challenges in communicating and visualizing the results and insights of ROM for nonlinear and chaotic systems. In this article, we will discuss some of the methods and tools that can help you present and interpret your ROM for CFD nonlinear and chaotic systems.

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