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VERSION:2.0
PRODID:-//University of Liverpool Computer Science Seminar System//v2//EN
BEGIN:VEVENT
DTSTAMP:20260922T101359Z
UID:Seminar-MIF-1402@lxserverM.csc.liv.ac.uk
ORGANIZER:CN=Othon Michail:MAILTO:Othon.Michail@liverpool.ac.uk
DTSTART:20230217T140000
DTEND:20230217T150000
SUMMARY:MIF Series
DESCRIPTION:Jonathan Balasingham: Graph representation of crystals using Pointwise Distance Distributions.\n\nUse of graphs to represent crystal structures has become popular in recent years as they provide a natural translation from atoms and bonds to nodes and edges. Graphs capture structure, while remaining invariant to the symmetries that crystals display. Several works in property prediction, including those with state-of-the-art results, make use of the Crystal Graph. The present work offers a graph based on Pointwise Distance Distributions which retains symmetrical invariance, decreases computational load, and yields similar or better prediction accuracy on both experimental and simulated crystals.\n\nhttps://www.csc.liv.ac.uk/research/seminars/abstract.php?id=1402
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