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SUMMARY:Density functional theory and Machine learning:  On the road to pa
 radise (or perdition). - Professor Kieron Burke\, University of California
 \, Irvine
DTSTART:20240905T150000Z
DTEND:20240905T160000Z
UID:TALK220036@talks.cam.ac.uk
CONTACT:Lisa Masters
DESCRIPTION:I will discuss how DFT calculations are now used in just about
  every branch of the\nscience of everyday matter\, especially materials sc
 ience and chemistry.  \nI will also review the rapid rise of machine learn
 ing\, and its impact on electronic\nstructure calculations.   I will end b
 y discussing some efforts I have been involved\nwith to use machine learni
 ng to make density functional approximations and some\nwarnings about the 
 future.
LOCATION:Yusuf Hamied Department of Chemistry\, Wolfson Lecture Theatre
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