z-logo
open-access-imgOpen Access
Hierarchical 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 of the royal society a 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

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom