BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Encoding quantum-chemical knowledge into machine-learning models o
 f complex molecular properties
DTSTART:20240314T170000
DTSTAMP:20260407T105930Z
UID:030b2d797f948a492e6a198fcbd8cc7c58e7d06e860019637aba1181
CATEGORIES:Thesis defenses
DESCRIPTION:Ksenia BRILING\nThesis Director: Prof. A.-C. Corminboeuf\,\nCh
 emistry and Chemical Engineering doctoral program\nThesis Nr. 10561\n\nTo
  take part in the public defense\, please contact directly the speaker
LOCATION:CE 1 4 https://plan.epfl.ch/?room==CE%201%204 https://epfl.zoom.u
 s/j/64811001949
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR