Continuous and discontinuous compressible flows in a converging–diverging channel solved by physics-informed neural networks without exogenous data
Crossref DOI link: https://doi.org/10.1038/s41598-024-53680-2
Published Online: 2024-02-15
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Liang, Hong
Song, Zilong
Zhao, Chong
Bian, Xin
Text and Data Mining valid from 2024-02-15
Version of Record valid from 2024-02-15
Article History
Received: 21 November 2023
Accepted: 3 February 2024
First Online: 15 February 2024
Competing interests
: The authors declare no competing interests.