Finite basis physics-informed neural networks (FBPINNs): a scalable domain decomposition approach for solving differential equations
Crossref DOI link: https://doi.org/10.1007/s10444-023-10065-9
Published Online: 2023-07-31
Published Print: 2023-08
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Moseley, Ben http://orcid.org/0000-0003-2238-1783
Markham, Andrew
Nissen-Meyer, Tarje
Funding for this research was provided by:
Swiss Federal Institute of Technology Zurich
Text and Data Mining valid from 2023-07-31
Version of Record valid from 2023-07-31
Article History
Received: 23 June 2022
Accepted: 28 June 2023
First Online: 31 July 2023
Declarations
:
: The authors declare no competing interests.