Crossmark

Non-intrusive nonlinear model reduction via machine learning approximations to low-dimensional operators

Published Online: 2021-12-30

Published Print: 2021-12

Authors

Bai, Zhe http://orcid.org/0000-0002-3092-0903
Peng, Liqian
Funding

Funding for this research was provided by:

Advanced Scientific Computing Research (DE-AC02-05CH11231)

Sandia National Laboratories (DE-NA0003525)
License Information

Text and Data Mining valid from 2021-12-01

Version of Record valid from 2021-12-30
More Information

Article History

Received: 28 September 2021

Accepted: 10 December 2021

First Online: 30 December 2021

Declarations

:

: The authors declare that they have no conflict of interest.

Document is current