Data-Driven Discovery of Closure Models
Data-Driven Discovery of Closure Models is a scholarly work by Karthik Duraisamy, published in 2018 in ''SIAM Journal on Applied Dynamical Systems''. The main subjects of the publication include uncertainty quantification, physics-informed neural networks, and system identification. The authors present a framework of operator inference to extract the governing dynamics of closure from data in a compact, non-Markovian form.