BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20260516T135352Z
UID:https://www.fhi.mpg.de/events/26326/72770
DTSTART:20201203T130000Z
DTEND:20201203T140000Z
CLASS:PUBLIC
CREATED:20201026T133412Z
DESCRIPTION:Change notice: TH Department Online Seminar\nMachine learning a
 ccelerated catalyst discovery efforts has seen much progress in the last f
 ew years. Datasets of computational calculations have improved\, models to
  connect surface structure with electronic structure or adsorption energie
 s have gotten more sophisticated\, and active learning exploration strateg
 ies are becoming routine in discovery efforts.\nSpeaker: Prof. Dr. Zachary
  W. Ulissi
LAST-MODIFIED:20201119T100850Z
LOCATION:Join zoom meeting: https://tum-conf.zoom.us/j/95962763450 | Webina
 r ID: 959 6276 3450 | Passcode: 212179
SUMMARY:Datasets\, Workflows\, Models and Active Learning to Accelerate Cat
 alyst Discovery
URL;VALUE=URI:https://www.fhi.mpg.de/events/26326/72770
END:VEVENT
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