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DTSTART;TZID=Europe/Stockholm:20240605T113000
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UID:submissions.pasc-conference.org_PASC24_sess132_msa220@linklings.com
SUMMARY:Adaptively Coupled Multiphysics Simulations with Trixi.jl
DESCRIPTION:Minisymposium\n\nSimon Candelaresi (University of Stuttgart, H
 igh-Performance Computing Center Stuttgart)\n\nWe extended the capabilitie
 s of the numerical simulation framework Trixi.jl to be able to simulate ad
 aptively coupled multiphysics systems. Coupling is performed through the b
 oundary values of the systems where the coupling functions can be freely d
 efined, depending on the physical nature of the interface. This allows us 
 to couple any pair of systems, like Navier-Stokes equations with magnetohy
 drodynamic equations. This is particularly useful for hierarchical systems
  found in e.g. Astrophysics where we can have a complex model for a small 
 part of the domain and a simplified model on a larger part. This can great
 ly reduce the computational cost and decrease the computational time. To a
 ccount for dynamic changes in the physics that need to be solved at any gi
 ven point in space, we support adaptively coupled domains. The criteria fo
 r changing the domain boundaries can be freely defined and tailored to the
  problem. One application is the propagation of magnetic fields in space w
 here we solve the magnetohydrodynamic equations only for the part of the d
 omain with a significant magnetic field.\n\nDomain: Climate, Weather, and 
 Earth Sciences, Physics, Computational Methods and Applied Mathematics\n\n
 Session Chairs: Ludovic Raess (University of Lausanne, ETH Zurich); Samuel
  Omlin (ETH Zurich / CSCS); and Michael Schlottke-Lakemper (University of 
 Augsburg)
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