Reduced order modelling method via proper orthogonal decomposition (POD) for flow around an oscillating cylinder

By E. Liberge, Aziz Hamdouni. 2010

171 citations recorded by the source corpus.

Subfields: Computational Mechanics, Control and Systems Engineering, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/3cadd07c3c560cee42c8d4fb41c791c42cae1e22

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. Donghyun You
2. Sangseung Lee

In Statistical and Nonlinear Physics

1. Donghyun You
2. Sangseung Lee

Citations in the corpus

• Data-driven prediction of unsteady flow over a circular cylinder using deep learning (2018, background): “This differs from the aim of ROMs, which is to discover and understand low-dimensional representation of flow fields at certain Reynolds numbers by learning them (Liberge & Hamdouni 2010; Bagheri 2013).”