Eur. Phys. J. E (2023) 46: 102
https://doi.org/10.1140/epje/s10189-023-00356-w
https://doi.org/10.1140/epje/s10189-023-00356-w
Editorial
Topical issue on quantitative AI in complex fluids and complex flows: challenges and benchmarks
1
Department of Physics and INFN, University of Rome Tor Vergata, Rome, Italy
2
INFN Tor Vergata, Rome, Italy
3
Istituto dei Sistemi Complessi, CNR, Rome, Italy
b
michele.buzzicotti@roma2.infn.it
This article has no abstract.
© The Author(s), under exclusive licence to EDP Sciences, SIF and Springer-Verlag GmbH Germany, part of Springer Nature 2023
