Development of a novel artificial neural network-based approach for predicting entropy generation in electroosmotic flow of nanofluids
Crossref DOI link: https://doi.org/10.1007/s11071-025-11245-6
Published Online: 2025-05-20
Published Print: 2025-08
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Ishaq, Muhammad
Ashraf, Muhammad Bilal
Text and Data Mining valid from 2025-05-20
Version of Record valid from 2025-05-20
Article History
Received: 20 December 2024
Accepted: 11 April 2025
First Online: 20 May 2025
Declarations
:
: The authors declare no competing interests.