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Memory embedded non-intrusive reduced order modeling of non-ergodic flows
[article]
2019
arXiv
pre-print
Generating a digital twin of any complex system requires modeling and computational approaches that are efficient, accurate, and modular. Traditional reduced order modeling techniques are targeted at only the first two but the novel non-intrusive approach presented in this study is an attempt at taking all three into account effectively compared to their traditional counterparts. Based on dimensionality reduction using proper orthogonal decomposition (POD), we introduce a long short-term memory
arXiv:1910.07649v1
fatcat:7jlfk5nk4baglafsjkaagyzxfu