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SUMMARY:Machine Learning for Molecular Simulation - from Quantum Chemistry
  to Protein Dynamics - Professor Frank Noé\, Free University Berlin
DTSTART:20220504T133000Z
DTEND:20220504T143000Z
UID:TALK169412@talks.cam.ac.uk
CONTACT:Lisa Masters
DESCRIPTION:There has been a surge of interest in machine learning in the 
 past few years\, and deep learning techniques are more and more integrated
  into the way we do quantitative science. A particularly exciting case for
  deep learning is molecular physics\, where some of the "superpowers" of m
 achine learning can make a real difference in addressing hard and fundamen
 tal computational problems - on the other hand the rigorous physical footi
 ng of these problems guides us in how to pose the learning problem and mak
 ing the design decisions for the learning architecture. In this lecture I 
 will review some of our recent contributions in marrying deep learning wit
 h statistical mechanics\, rare-event sampling and quantum mechanics.\n
LOCATION:Wolfson Lecture Theatre\, Dept of Chemistry and Zoom
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