Rheology-Informed Neural Networks (RhINNs) for forward and inverse metamodelling of complex fluids
Crossref DOI link: https://doi.org/10.1038/s41598-021-91518-3
Published Online: 2021-06-08
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Mahmoudabadbozchelou, Mohammadamin
Jamali, Safa
Text and Data Mining valid from 2021-06-08
Version of Record valid from 2021-06-08
Article History
Received: 23 February 2021
Accepted: 27 May 2021
First Online: 8 June 2021
Competing interests
: The authors declare no competing interests.