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DTSTART;TZID=America/Chicago:20221116T083000
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UID:submissions.supercomputing.org_SC22_sess249_drs108@linklings.com
SUMMARY:Scalable Adaptive Finite Element Framework for Multiphysics Simula
 tions
DESCRIPTION:Doctoral Showcase, Posters\n\nScalable Adaptive Finite Element
  Framework for Multiphysics Simulations\n\nSaurabh\n\nEfficiently and accu
 rately simulating partial differential equations (PDEs) in and around arbi
 trarily defined geometries, especially with high levels of adaptivity, has
  significant implications for different application domains. In this work,
  we develop a fast construction of a ‘good’ adaptively-refined incomplete 
 octree based mesh capable of carving out arbitrarily shaped void regions f
 rom the parent domain: an essential requirement for fluid simulations arou
 nd complex objects. Further, we integrate the mesh generation with Petsc t
 o solve several multiphysics and multiphase phenomena. We showcase the app
 licability of the algorithms to solve the large scale problems. The algori
 thms developed have enabled us to run the most resolved jet atomization si
 mulations and demonstrated scaling till O(100K) processors on TACC Fronter
 a.\n\nRegistration Category: Tech Program Reg Pass, Exhibits Reg Pass
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