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SUMMARY:The stochastic mechanical brain - Antoine Jerusalem (University of
  Oxford)
DTSTART:20230801T101500Z
DTEND:20230801T111500Z
UID:TALK202408@talks.cam.ac.uk
DESCRIPTION:Fuelled in particular by current medical challenges in Traumat
 ic Brain Injury\, the field of brain mechanics has progressed tremendously
  in the last decade. Simulations that required months in development and r
 untime can now be created from patient specific medical images\, meshed an
 d run in a fraction of that time. However\, and maybe paradoxically\, the 
 high fidelity of these new models has exacerbated a problem that the rough
  early finite element models were naturally avoiding by design\, i.e.\, th
 e stochasticity of the brain. In this presentation\, we propose a series o
 f new numerical methods built on the finite element method accounting for 
 both the intrinsic stochasticity (i.e.\, variations of the properties with
 in the brain) and extrinsic stochasticity (i.e.\, variations between indiv
 iduals). Relevant applications are given throughout as illustrations.
LOCATION:Seminar Room 1\, Newton Institute
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