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DTSTAMP:20220812T074358Z
LOCATION:Sydney Room
DTSTART;TZID=Europe/Stockholm:20220628T150000
DTEND;TZID=Europe/Stockholm:20220628T160000
UID:submissions.pasc-conference.org_PASC22_sess172@linklings.com
SUMMARY:AP2A - ACM Papers Session 2A
DESCRIPTION:Paper\n\nAn Effective Physics Simulation Methodology Based on 
 a Data-Driven Learning Algorithm\n\nJiang, Veresko, Liu, Cheng\n\nA method
 ology of multi-dimensional physics simulations for engineering and scienti
 fic applications is investigated based on a data-driven learning algorithm
  derived from proper orthogonal decomposition (POD). The approach utilizes
  numerical simulation tools to collect solution data for the problems ...\
 n\n---------------------\nMINT: A Library that Conserves Vorticity or Late
 ral Fluxes when Interpolating Vector Fields\n\nPletzer, Behrens, Little\n\
 nA C++/Python interpolation and regridding package (MINT) is presented, wh
 ich is suited for vector fields with staggered components. MINT implements
  an interpolation method that conserves line and flux integrals in two dim
 ensions. Mathematical identities such as curl grad = div curl = 0 are pres
 erved...\n\n\nDomain: Climate, Weather and Earth Sciences, Physics
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