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Alessandro Corbetta; Vlado Menkovski; Roberto Benzi; Federico Toschi

Deep learning velocity signals allows to quantify turbulence intensity Journal Article

arXiv, 2019.

Abstract | BibTeX | Tags: cond-mat.stat-mech, cs.AI, cs.LG, physics.flu-dyn

Xiao Xue; Luca Biferale; Mauro Sbragaglia; Federico Toschi

Particle settling in a fluctuating multicomponent fluid under confinement Journal Article

arXiv, 2019, (12pages, 7 figures).

Abstract | BibTeX | Tags: cond-mat.soft, physics.comp-ph, physics.flu-dyn

Roberto Benzi; Thibaut Divoux; Catherine Barentin; S é; Mauro Sbragaglia; Federico Toschi

Unified theoretical and experimental view on transient shear banding Journal Article

arXiv, 2019, (5 pages, 4 figures - supplemental 5 pages, 4 figures).

Abstract | BibTeX | Tags: cond-mat.soft, cond-mat.stat-mech, physics.flu-dyn


S Kramel; G A Voth; S Tympel; F Toschi

Preferential rotation of chiral dipoles in isotropic turbulence Journal Article, e-Print Archive, Physics, 2016.

Abstract | BibTeX | Tags: physics.flu-dyn