Presented by:
Miranda Holmes-Cefron
Date:
Wednesday 20th November 2019 - 15:40 to 16:10
Venue:
INI Seminar Room 2
Event:
Abstract:
Many problems in materials science and biology involve particles
interacting with strong, short-ranged bonds, that can break and form on
experimental timescales. Treating such bonds as constraints can significantly
speed up sampling their equilibrium distribution, and there are several methods
to sample subject to fixed constraints. We introduce a Monte Carlo method to handle
the case when constraints can break and form. Abstractly, the method samples a
probability distribution on a stratification: a collection of
manifolds of different dimensions, where the lower-dimensional manifolds lie on
the boundaries of the higher-dimensional manifolds. We show several
applications in polymer physics, self-assembly of colloids, and volume
calculation.
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