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METHOD:PUBLISH
BEGIN:VEVENT
UID:8ac6f62b-2ca8-42c1-9d54-83a5547c8d4f@world-conf
DTSTAMP:20261108T030133Z
LAST-MODIFIED:20261106T232631Z
SEQUENCE:0
DTSTART:20261209T140000Z
DTEND:20261209T150000Z
SUMMARY:AIchemy’s Monthly Webinar Series – December 2026
URL:http://localhost:8080/en/events/aichemy-s-monthly-webinar-series-decemb
 er-2026-2026-12/
DESCRIPTION:An online webinar from the AIchemy Hub monthly series\, held on
  9 December 2026\, 14:00–15:00 via Microsoft Teams\, free to attend. Pro
 f. Matthew Sigman (University of Utah) covers the use of data science and 
 machine learning in synthetic chemistry for optimising catalytic reactions
  and analysing structure–function relationships. Dr. Ben Honore (Imperia
 l College London) presents a multi-agent LLM-based framework for extractin
 g datasets from materials chemistry papers\, including JSON schema design\
 , \n\nOfficial website: https://aichemy.ac.uk/event/aichemys-monthly-webin
 ar-series-december-2026\n\nSources:\n- aichemy.ac.uk: https://aichemy.ac.u
 k/event/aichemys-monthly-webinar-series-december-2026\n\nhttp://localhost:
 8080/en/events/aichemy-s-monthly-webinar-series-december-2026-2026-12/
STATUS:CONFIRMED
CATEGORIES:ai,data,design,frontend,science
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ACTION:DISPLAY
DESCRIPTION:AIchemy’s Monthly Webinar Series – December 2026
TRIGGER:-PT1440M
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