BEGIN:VCALENDAR
VERSION:2.0
METHOD:PUBLISH
BEGIN:VTIMEZONE
TZID:Europe/London
BEGIN:STANDARD
TZNAME:GMT
TZOFFSETFROM:+0100
TZOFFSETTO:+0000
DTSTART:19701025T020000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU
END:STANDARD
BEGIN:DAYLIGHT
TZNAME:BST
TZOFFSETFROM:+0000
TZOFFSETTO:+0100
DTSTART:19700329T010000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:6a0547b304d9c
DTSTAMP:20260514T035531Z
DTSTART;TZID=Europe/London:20250618T140000
DTEND;TZID=Europe/London:20250618T150000
TZID:Europe/London
SUMMARY:School of Chemistry Colloquium:  Professor Alessandro Troisi (University of Liverpool)
DESCRIPTION:This talk will provide an overview of different approaches used to discover new organic materials for electronics and disclose the relation between their structure and their property. In all cases we consider the interaction possible with the experimental community including the ease of realizing the predictions. We first consider the brute force approach of high-throughput virtual screening, which provides the best possible baseline for anything smarter. We then consider the model reduction approach, the traditional way of deriving an interpretable description of reality. Machine learning models are discussed next, with focus on how and when they fail. We also discuss under what condition the three approaches can be combined. Applications cover optically active molecules, molecular crystals and polymers.    This event is open to final year undergraduate project students, MSc students, PhD students, post-doctoral research associates and academic staff. https://events.st-andrews.ac.uk/events/school-of-chemistry-colloquium-professor-alessandro-troisi-university-of-liverpool/
LOCATION:Purdie Building
URL:https://events.st-andrews.ac.uk/events/school-of-chemistry-colloquium-professor-alessandro-troisi-university-of-liverpool/
End:VEVENT
End:VCALENDAR