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Kinetic equations and machine learning

Kinetic models of cell motion

Speaker

Benoit Perthame , Université Pierre et Marie Curie

Time

27 Jun, 14:00 - 14:40

Abstract

Cells are often moving by a successions of runs and tumbles. The most common case is when a chemical signal attracts the cells (chemotaxis). Here we are interested in the direct self-attraction between cells by local sensing, according to a model proposed by Loy and Preziosi. A concentration phenomena has been observed which is related to the instability of the steady state. The concentration profile can be described using the Hopf-Cole transform and a striking new feature is a concave-convex Hamiltonian which explains sawthooth concentration porofiles.