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SUMMARY:Machine Learning for the Materials World - Efthimios Kaxiras\, Har
 vard University
DTSTART:20170619T090000Z
DTEND:20170619T100000Z
UID:TALK72596@talks.cam.ac.uk
CONTACT:Prof. Gabor Csanyi
DESCRIPTION:The last few years have witnessed a surge of activity in machi
 ne learning approaches applied to materials science.  In this talk I will
  address both the promise and the limitations of using data science ideas 
 to explore the possibilities of “materials by design”\, drawing on exa
 mples from recent research in our group.  Applications of our work focus 
 on exploring the properties of new materials for energy related problems\,
  including improved batteries\, photovoltaics\, and new catalysts\; in a p
 arallel but distinct type of approach\, we have been exploring how machine
  learning approaches can shed light into fundamental questions like the st
 rength of amorphous solids.
LOCATION:Lecture Room 1\, Dept. of Engineering (Trumpington St)
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