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SUMMARY:Generative models as efficient surrogates for molecular dynamics s
 imulations - Simon Olsson - Chalmers University of Technology
DTSTART:20241115T140000Z
DTEND:20241115T150000Z
UID:TALK222394@talks.cam.ac.uk
CONTACT:123034
DESCRIPTION:The Cambridge ELLIS Unit Seminar Series holds talks by leading
  researchers in the area of machine learning and AI. Our next speaker for 
 November 2024 will be Simon Olsson. Details of his talk can be found below
 . ​\n\n​Title: “Generative models as efficient surrogates for molecu
 lar dynamics simulations”​\n​\nAbstract: ​\n\nMolecular dynamics (
 MD) is an important simulation technique in the natural sciences and engin
 eering. In principle\, it allows for establishing detailed\, mechanistic m
 odels of molecular systems to explain and design experiments\, or engineer
  molecules towards desirable properties. Unfortunately\, these simulations
  are prohibitively expensive to use on a large scale. In this talk\, I wil
 l present our work on using Generative AI methods to accelerate these simu
 lations by orders of magnitude.​\n\n​https://cam-ac-uk.zoom.us/j/82615
 098116?pwd=cBUqlkyJqfNWqbn5DkBlVmDpmcjV0d.1 \n\n
LOCATION:​  https://cam-ac-uk.zoom.us/j/82615098116?pwd=cBUqlkyJqfNWqbn5
 DkBlVmDpmcjV0d.1
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