502 citations · 588 across the 8 of their papers we have counts for
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cond-mat.soft2020★ 11 cited
Machine learning and predicting the time dependent dynamics of local yielding in dry foams
Leevi Viitanen, Jonatan R. Mac Intyre, Juha Koivisto +2
The yielding of dry foams is enabled by small elementary yield events on the bubble scale, "T1"s. We study the large scale detection of these in an expanding 2D flow geometry using…
physics.flu-dyn2020★ 502 cited
Modelling aerosol transport and virus exposure with numerical simulations in relation to SARS-CoV-2 transmission by inhalation indoors
Ville Vuorinen, Mia Aarnio, Mikko Alava +27
We provide research findings on the physics of aerosol dispersion relevant to the hypothesized aerosol transmission of SARS-CoV-2. We utilize physics-based modeling at different le…