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SUMMARY:Deep Learning for Molecular Physics - Professor Frank Noe\, Freie 
 Universitaet Berlin
DTSTART:20200131T141500Z
DTEND:20200131T151500Z
UID:TALK132496@talks.cam.ac.uk
CONTACT:Lisa Masters
DESCRIPTION:Solving classical and quantum physics many-body systems are am
 ongst the hardest problems in the natural sciences\, but also of fundament
 al importance for applications such as material and drug design. In this t
 alk\, I will give a an overview of fundamental physics problems at multipl
 e time- and lengthscales and describe deep learning methods to address the
 m: 1) solving the quantum-chemical electronic Schrödinger equation with d
 eep variational Monte Carlo\, 2) learning to coarse-grain many-body system
 s\, and 3) sampling equilibrium states of classical many-body systems with
  generative learning.
LOCATION:Department of Chemistry\, Cambridge\, Wolfson Lecture Theatre
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