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VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Transferable machine-learning models of complex materials: the cas
 e of GaAs
DTSTART:20211119T160000
DTSTAMP:20260406T050618Z
UID:7b877b31c4d0895c83c8dc518cc5ecef267d3debe1f843013f65e1ad
CATEGORIES:Thesis defenses
DESCRIPTION:Giulio IMBALZANO\nThesis Director: Prof. M. Ceriotti\,\nMateri
 als Science and Engineering doctoral program\nThesis Nr. 8457\n\nTo take 
 part in the public defense\, please contact directly the speaker
LOCATION:Vidéoconférence
STATUS:CONFIRMED
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