Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of nanoscale heat transport
Main Authors: | , , , |
---|---|
Other Authors: | |
Format: | Article |
Published: |
American Physical Society (APS)
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/1721.1/143435 |