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SUMMARY:"AI in chemistry and beyond" seminar "AI4Science at Microsoft Rese
 arch" by Rianne van den Berg
DTSTART:20221220T151500
DTEND:20221220T161500
DTSTAMP:20260924T141145Z
UID:39180416806a866b34042d2c98cc0fcf6a80d4e02dfaabfabd972c89
CATEGORIES:Conferences - Seminars
DESCRIPTION:Rianne van den Berg is a Principal Researcher at MSR. \n In 
 July 2022 Microsoft announced a new global team in Microsoft Research\, sp
 anning the UK\, China and the Netherlands\, to focus on AI for science. In
  September 2022 we announced that we have also opened a new lab in Berlin\
 , Germany. In this talk I will first discuss the research areas that we ar
 e currently exploring in AI4Science at Microsoft Research in Cambridge (UK
 )\, Amsterdam and in our new lab in Berlin\, covering topics such as drug 
 discovery\, material generation\, neural PDE solvers\, electronic structur
 e theory and computational catalysis. Then I will dive a little deeper int
 o our recent work on Clifford Neural layers for PDE modeling. The PDEs of 
 many physical processes describe the evolution of scalar and vector fields
 . In order to take into account the correlation between these different fi
 elds and their internal components\, we represent these fields as multivec
 tors\, which consist of scalar\, vector\, as well as higher-order componen
 ts. Their algebraic properties\, such as multiplication\, addition and oth
 er arithmetic operations can be described by Clifford algebras\, which we 
 use to design Clifford convolutions and Clifford Fourier transforms. We em
 pirically evaluate the benefit of Clifford neural layers by replacing conv
 olution and Fourier operations in common neural PDE surrogates by their Cl
 ifford counterparts on two-dimensional Navier-Stokes and weather modeling 
 tasks\, as well as three-dimensional Maxwell equations.
LOCATION:https://epfl.zoom.us/j/68447908297?pwd=OU5JUGJUSUhZc0ZNYjQ2WENvYl
 NRdz09
STATUS:CONFIRMED
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