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SUMMARY:Non-Gaussianity and random diffusivity models - Vittoria Sposini (
 Universität Wien)
DTSTART:20220224T090000Z
DTEND:20220224T093000Z
UID:TALK167780@talks.cam.ac.uk
DESCRIPTION:\n\n\nOver the last years a considerable number of systems hav
 e been reported in which Brownian yet non-Gaussian dynamics is observed. T
 hese are processes characterised by a linear growth in time of the mean sq
 uared displacement\, yet the probability density function of the particle 
 displacement is distinctly non-Gaussian\, and often of exponential (Laplac
 e) shape. This behaviour has been interpreted as resulting from diffusion 
 in heterogeneous environments and mathematically described through the int
 roduction of a variable\, stochastic diffusion coefficient. In this talk I
  will present a general overview on random diffusivity processes\, with th
 e main goal of showing how the linear scaling of the mean squared displace
 ment can be reconciled with a non-Gaussian probability density function.\n
 This talk is based on a series of joint publications with Ralf Metzler\, G
 ianni Pagnini\, Aleksei Chechkin and Falvio Seno.&nbsp\;\n\n\n
LOCATION:Seminar Room 1\, Newton Institute
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