Physics-constrained, data-driven discovery of coarse-grained dynamics

11 February 2018

Papers citing "Physics-constrained, data-driven discovery of coarse-grained dynamics"

5 / 5 papers shown

Title
Data-Driven Discovery of Coarse-Grained Equations Joseph Bakarji D. Tartakovsky 107 32 0 30 Jan 2020
Incorporating physical constraints in a deep probabilistic machine learning framework for coarse-graining dynamical systems Sebastian Kaltenbach P. Koutsourelakis AI4CE 205 35 0 30 Dec 2019
Enforcing constraints for time series prediction in supervised, unsupervised and reinforcement learning P. Stinis AI4TS AI4CE 71 11 0 17 May 2019
A comparative study of physics-informed neural network models for learning unknown dynamics and constitutive relations R. Tipireddy P. Perdikaris P. Stinis A. Tartakovsky PINN 85 34 0 02 Apr 2019
Enforcing constraints for interpolation and extrapolation in Generative Adversarial Networks P. Stinis Tobias J. Hagge A. Tartakovsky Enoch Yeung GAN AI4CE 83 33 0 22 Mar 2018