Open AccessHierarchical deep learning of multiscale differential equation time-steppers
Author(s) -
Yuying Liu,
J. Nathan Kutz,
Steven L. Brunton
Publication year - 2022
Publication title -
philosophical transactions - royal society. mathematical, physical and engineering sciences/philosophical transactions - royal society. mathematical, physical and engineering sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.074
H-Index - 169
eISSN - 1471-2962
pISSN - 1364-503X
DOI - 10.1098/rsta.2021.0200
Subject(s) - computer science , dynamical systems theory , nonlinear system , artificial neural network , lorenz system , benchmark (surveying) , algorithm , deep learning , range (aeronautics) , dynamical system (definition) , flow (mathematics) , mathematics , artificial intelligence , physics , materials science , geometry , geodesy , quantum mechanics , chaotic , composite material , geography