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Stochastic processes and pattern formation

When: 13-09-2019 10:00
End: 13-09-2019 17:30
Where: Nobel str., 3, Room 408, Blue Building

Top-level researchers will present and discuss their latest results in stochastic (random) processes, active matter and pattern formation. With an increase in efficiency of numerical methods the simulations allow to tackle a wider reach of time and length scales. New methods such as machine learning approaches present novel ways to solve old unresolved problems. The discussion of  this new opportunities is one of the main goals of the meeting. Everyone is warmly invited to attend and contribute their point of view to the discussions.

 

Program  
10:15-10:30 Opening
10:30-10:55 Sergey Nechaev, CNRS, Paris, France, “Lamplighter Model of a Copolymer Absorption”.
10:55-11:15

Alexander Valov, N.N. Semenov Institute of Chemical Physics of RAS, Moscow, Russia, “On Anomalous Statistics of Some Extreme Random Processes”.
11:15-11:40 Gleb Oshanin, CNRS, Paris, France, “Spectral Content of a Single Trajectory”.
12:10-12:35 Aleksei Chechkin, Uni Potsdam, Potsdam, Germany, “Brownian Yet non-Gaussian Diffusion in a Heterogenous Environment”.
12:35-12:55 Vittoria Sposini, Uni Potsdam, Potsdam, Germany, “Mimicking Heterogeneous Diffusion with Time-Dependent Random Diffusivity”.
12:55-13:15 Anna Bodrova, Skoltech, Moscow, Russia, “Resetting Processes with non-Instantaneous Return”.
13:15-14:15 Lunch
14:15-14:40 Mike Tamm, HSE, Moscow, Russia, “Geometrical Selection in Growing Needles”.
14:40-15:00 Saeed Osat, Skoltech, Moscow, Russia, “K-core of Complex Network”.
15:00-15:20 Kirill Polovnikov, Skoltech, Moscow, Russia, “Non-Backtracking Walks on Stochastic Networks and Detection of Clusters”.
15:20-15:40 Vladimir Palyulin, Skoltech, Moscow, Russia, “Blind Search Properties of Lévy Motions and Brownian Diffusion”.
15:40-16:10 Coffee Break
16:10-16:35 Nikolai Brilliantov, Skoltech, Moscow, Russia, “Reinforcement Learning View on the Collective Motion of Animals: why they swirl and how they group”.
16:35-16:55 Alexander Osinsky, Skoltech, Moscow, Russia, “Low-rank Monte-Carlo Method for Temperature-Dependent Smoluchowski Equations”
16:55-17:20 Closing discussion

 

 

 

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