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BEGIN:VEVENT
DTSTAMP:20261006T213636Z
DTSTART;VALUE=DATE-TIME:20251013T123000
DTEND;VALUE=DATE-TIME:20251013T133000
SUMMARY:WCPM: Luke Davis\, The University of Edinburgh
TZID:Europe/London
UID:20251013-8ac672c698eb2d640198f005bd870cdd@warwick.ac.uk
CREATED:20251012T184916Z
DESCRIPTION:Location: MEC 101 Networking Lunch: MEC 101\, from 12pm - 12:
 30pm. Title: Stochastic geometry of active matter Abstract: For equilibr
 ium hard spheres the stochastic geometry of the insertion space\, the ro
 om to accommodate another sphere\, relates exactly to the equation of st
 ate. We begin to extend this idea to active matter\, analyzing insertion
  space for repulsive active particles in one and two dimensions using bo
 th on- and off-lattice models. In 1D we derive closed-form expressions f
 or the mean insertion cavity size\, cavity number\, and total insertion 
 volume\, all in excellent agreement with simulations. Strikingly\, activ
 ity increases the total insertion volume and tends to keep the insertion
  space more connected. These results provide the first quantitative foun
 dation for the stochastic geometry of active matter\, and opens up a new
  route to building a thermodynamics of active systems. Bio: Dr Luke Davi
 s is a theoretical physicist broadly working in the area of statistical 
 physics\, stochastic systems\, soft matter\, and theoretical biophysics.
  Currently\, he is a (4-year) Flora Philip Fellow based at The School of
  Mathematics\, Applied and Computational Mathematics\, at the University
  of Edinburgh. His previous position was as an Isaac Newton Institute (I
 NI) Postdoctoral Research Fellow at the University of Cambridge. Current
  questions/topics that he is thinking and researching about: How to best
  steer continuous and discrete-state active matter to perform useful fun
 ctions efficiently? Mathematical and computational exploration of the st
 ochastic geometry of active matter. Exploring efficient and robust optim
 ization of active matter simulations. How to adapt ideas and techniques 
 from equilibrium thermodynamics to better understand the physics of acti
 ve matter? Biophysics\, in particular modelling assemblies of disordered
  proteins and biomolecular condensates that may also be out-of-equilibri
 um.
LOCATION:MEC 101
CATEGORIES:WCPM
LAST-MODIFIED:20251012T184916Z
ORGANIZER;CN=Jin Kang:
END:VEVENT
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