18 citations · 38 across the 10 of their papers we have counts for
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physics.comp-ph2018★ 2 cited
Non-intrusive inference reduced order model for fluids using linear multistep neural network
Xuping Xie, Guannan Zhang, Clayton G. Webster
In this effort we propose a data-driven learning framework for reduced order modeling of fluid dynamics. Designing accurate and efficient reduced order models for nonlinear fluid d…
physics.flu-dyn2018★ 9 cited
Lagrangian Data-Driven Reduced Order Modeling of Finite Time Lyapunov Exponents
Xuping Xie, Peter J. Nolan, Shane D. Ross +2
There are two main strategies for improving the projection-based reduced order model (ROM) accuracy: (i) improving the ROM, i.e., adding new terms to the standard ROM; and (ii) imp…