76 citations · 76 across the 1 of their papers we have counts for
2 papers
physics.comp-ph2019★ 76 cited
Feature engineering and symbolic regression methods for detecting hidden physics from sparse sensors
Harsha Vaddireddy, Adil Rasheed, Anne E Staples +1
In this study we put forth a modular approach for distilling hidden flow physics in discrete and sparse observations. To address functional expressiblity, a key limitation of the b…
physics.comp-ph2019
A deep learning enabler for non-intrusive reduced order modeling of fluid flows
S. Pawar, S. M. Rahman, H. Vaddireddy +3
In this paper, we introduce a modular deep neural network (DNN) framework for data-driven reduced order modeling of dynamical systems relevant to fluid flows. We propose various de…