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SUMMARY:Deep Learning many-body electronic structure - Prof. Ji CHEN (Peki
 ng University)
DTSTART:20250606T130000Z
DTEND:20250606T143000Z
UID:TALK232717@talks.cam.ac.uk
CONTACT:Bo Peng
DESCRIPTION:Deep learning with neural network wave functions is a powerful
  new approach for calculating the many-body electronic structure of molecu
 les\, materials\, and physical models\, addressing shared problems of stro
 ngly correlated electronic structure in fields of condensed matter physics
  and chemistry. In this talk\, I will provide an overview of the many-body
  electronic structure problem and the development of related deep learning
  methods\, and discuss our recent progresses\, including a series of algor
 ithmic developments\, accurate ab initio solutions of molecular and solids
 \, and exploring the fractional quantum Hall effect and correlated topolog
 ical states of matter.
LOCATION:Seminar Room 3\, RDC
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