Non‐intrusive reduced‐order modeling using convolutional autoencoders
Sign Up to like & getrecommendations! Published in 2022 at "International Journal for Numerical Methods in Engineering"
DOI: 10.1002/nme.7072
Abstract: The use of reduced‐order models (ROMs) in physics‐based modeling and simulation almost always involves the use of linear reduced basis (RB) methods such as the proper orthogonal decomposition (POD). For some nonlinear problems, linear RB… read more here.
Keywords: reduced order; order; intrusive reduced; convolutional autoencoders ... See more keywords
Non-intrusive reduced-order modeling for fluid problems: A brief review
Sign Up to like & getrecommendations! Published in 2019 at "Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering"
DOI: 10.1177/0954410019890721
Abstract: Despite tremendous progress seen in the computational fluid dynamics community for the past few decades, numerical tools are still too slow for the simulation of practical flow problems, consuming thousands or even millions of computational… read more here.
Keywords: reduced order; order; fluid; non intrusive ... See more keywords