Data-Driven Discovery of Coarse-Grained Equations

30 January 2020

Papers citing "Data-Driven Discovery of Coarse-Grained Equations"

6 / 6 papers shown

Title
Machine Learning for Partial Differential Equations Steven L. Brunton J. Nathan Kutz AI4CE 45 20 0 30 Mar 2023
Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach Sindre Stenen Blakseth Adil Rasheed T. Kvamsdal Omer San AI4CE 26 31 0 07 Jun 2022
A posteriori learning for quasi-geostrophic turbulence parametrization Hugo Frezat Julien Le Sommer Ronan Fablet G. Balarac Redouane Lguensat 27 56 0 08 Apr 2022
Online Weak-form Sparse Identification of Partial Differential Equations Daniel Messenger E. Dall’Anese David M. Bortz 41 13 0 08 Mar 2022
Discovering Governing Equations from Partial Measurements with Deep Delay Autoencoders Joseph Bakarji Kathleen P. Champion J. Nathan Kutz Steven L. Brunton 40 82 0 13 Jan 2022
Information-geometry of physics-informed statistical manifolds and its use in data assimilation F. Boso D. Tartakovsky AI4CE 47 8 0 01 Mar 2021