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SUMMARY:Topological Data Analysis for Materials Science - Associate Profes
 sor Kazuto Akagi (Tohoku University)
DTSTART:20200826T092000Z
DTEND:20200826T094000Z
UID:TALK150517@talks.cam.ac.uk
CONTACT:Joseph Nelson
DESCRIPTION:It is a serious but exciting challenge to detect characteristi
 c order or structural motifs buried in a complex system and convert them i
 nto quantitative descriptors useful for machine-learning. Topological data
  analysis (TDA) based on persistent homology (PH) is a powerful mathematic
 al framework to treat such a problem. In this talk\, we will see how TDA d
 etects hidden mechanism and quantifies it from time evolution of complex a
 morphous carbon obtained by first-principles MD simulations at high temper
 ature.\n\n*This talk will be held online using Zoom. Please "register your
  email address here":https://forms.gle/9Rpf2BekocwLpmHD9 to receive Zoom l
 inks via email.*\n\n*Workshop website*: https://www.mtg.msm.cam.ac.uk/even
 ts/msm-aimr-joint-online-workshop-2020
LOCATION:Online - Zoom
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