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PRODID:-//University of Birmingham//Events//EN
VERSION:2.0
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20230913T063200Z
DTSTART:20230921T110000Z
DTEND:20230922T143000Z
SUMMARY:Machine learning and simulation of stochastic dynamics with applications in materials science, September 2023
UID:www.birmingham.ac.uk/205297
DESCRIPTION:This workshop aims to bring together researchers from applied mathematics and computational chemistry working on machine learning methods and related computational approaches for (or with applications in) materials science.\n
 A particular focus of this workshop will be on methods and mathematical theory that relate to the learning and simulation of (stochastic) dynamics of particle systems including dynamics-preserving coarse-graining techniques, learnable equivariant representations of physical quantities beyond machine-learned interatomic potentials (MLIP), and algorithm design for efficient numerical simulation of relevant dynamics.\n
 The workshop website may be found here.\n
LOCATION:Lecture Theatre B - Watson Building (R15 on campus map)
STATUS:CONFIRMED
TRANSP:OPAQUE
CLASS:PUBLIC
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