A novel physics-informed neural network architecture for solving nonlinear PDEs in fluid mechanics without labeled data
Crossref DOI link: https://doi.org/10.1007/s00366-026-02277-6
Published Online: 2026-02-17
Published Print: 2026-04
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Vasheghani Farahani, Hossein
Tahsini, Amir Mahdi
Nematollahi, Ali
Ghiasi Afzal, Milad
Text and Data Mining valid from 2026-02-17
Version of Record valid from 2026-02-17
Article History
Received: 29 July 2025
Accepted: 5 January 2026
First Online: 17 February 2026
Declarations
:
: The authors declare no competing interests.