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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20261016T031137Z
UID:https://www.mpip-mainz.mpg.de/events/28036/536464
DTSTART:20210420T120000Z
DTEND:20210421T130000Z
CLASS:PUBLIC
CREATED:20210418T122941Z
DESCRIPTION:Innovative solar system missions must become increasingly innov
 ative and elaborate since "the low-hanging fruits have already been picked
 ." Solar sails\, which are propelled solely by solar radiation pressure\, 
 are among the key technologies for the future exploration of the solar sys
 tem because they make missions possible that would otherwise be infeasible
  due to their immense propellant requirements. The optimization of solar s
 ail trajectories\, however\, is a difficult task. In the talk\, a method i
 s presented that is based on machine learning\, fusing artificial neural n
 etworks and evolutionary algorithms. Such optimization methods may also be
  applied for subsurface ice melting probes\, as they are required to explo
 re Jupiter's and Saturn's icy moons\, which may harbor life in the oceans 
 beneath their thick ice crusts. Such ice melting probes have been develope
 d at FH Aachen and successfully tested in Antarctic ice. It will be intere
 sting to discuss whether those methods can also be applied in polymer rese
 arch.\nVortragende(r): Prof. Bernd Dachwald
LAST-MODIFIED:20210418T123755Z
LOCATION:Digital
ORGANIZER;CN=Kostas Daoulas:mailto:daoulas@mpip-mainz.mpg.de
SUMMARY:Solar Sails\, Intelligent Trajectory Optimization\, and Subsurface 
 Probes – Key Technologies for Future Solar System Exploration
URL;VALUE=URI:https://www.mpip-mainz.mpg.de/events/28036/536464
END:VEVENT
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