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BEGIN:VEVENT
DTSTAMP:20260314T195206Z
UID:https://www.fhi.mpg.de/events/39903/72594
DTSTART:20250424T120000Z
CLASS:PUBLIC
CREATED:20241113T110302Z
DESCRIPTION:Change notice: TH Department Seminar\nAtomic simulations allow 
 fantastic insight for chemistry and materials science\, but in silico data
  has many uncertainties which complicate interpretation and prediction. I 
 will discuss recent Bayesian methods to quantify two important sources of 
 uncertainty: those arising from imperfect models for atomic interaction[1\
 ,2] and incomplete sampling of the atomic energy landscape[3].\nSpeaker: D
 r. Thomas D Swinburne
LAST-MODIFIED:20250414T122729Z
LOCATION:https://zoom.us/j/94580966994?pwd=D0Pg8jTSOFnR3PXgiqhr2dFmPS9zpP.1
 \, Room: Meeting ID: 945 8096 6994  |  Passcode: 136076
ORGANIZER;CN=TH Department:mailto:
SUMMARY:Uncertainty-Aware Exploration of Atomic Energy Landscapes
URL;VALUE=URI:https://www.fhi.mpg.de/events/39903/72594
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