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20022023
most citedDeep Neural Networks for Nonlinear Model Order Reduction of Unsteady Flows

216 citations · 1.5k across the 56 of their papers we have counts for

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2 papers · 1 filter

math.NA2023

Oblique projection for scalable rank-adaptive reduced-order modeling of nonlinear stochastic PDEs with time-dependent bases

M. Donello, G. Palkar, M. H. Naderi +2

Time-dependent basis reduced order models (TDB ROMs) have successfully been used for approximating the solution to nonlinear stochastic partial differential equations (PDEs). For m…

math.NA2022★ 21 cited

Adaptive sparse interpolation for accelerating nonlinear stochastic reduced-order modeling with time-dependent bases

Mohammad Hossein Naderi, Hessam Babaee

Stochastic reduced-order modeling based on time-dependent bases (TDBs) has proven successful for extracting and exploiting low-dimensional manifold from stochastic partial differen…