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Topical issue on quantitative AI in complex fluids and complex flows: challenges and benchmarks
Academic Article
Publication Date:
2023
Iris type:
01.07 Editoriale in rivista
Keywords:
Machine learning; complex fluids
List of contributors:
Cencini, Massimo
Authors of the University:
CENCINI MASSIMO
Handle:
https://iris.cnr.it/handle/20.500.14243/434052
Published in:
THE EUROPEAN PHYSICAL JOURNAL. E, SOFT MATTER
Journal
Overview
Overview
URL
https://link.springer.com/article/10.1140/epje/s10189-023-00356-w?utm_source=getftr&utm_medium=getftr&utm_campaign=getftr_pilot