BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Neural Network Potentials for Age Hardening Aluminum Alloys
DTSTART:20220506T170000
DTSTAMP:20260408T050337Z
UID:55ab29c09e59fd29f0749b00a49daeaffe92d629e1585d253892f8f6
CATEGORIES:Thesis defenses
DESCRIPTION:Daniel John Gilles MARCHAND\nThesis Director: Prof. W. Curtin\
 ,\nMaterials Science and Engineering doctoral program\nThesis Nr. 9535\n\
 nTo take part in the public defense\, please contact directly the speaker
LOCATION:Online
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR