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UID:submissions.supercomputing.org_SC23_sess291_rpost121@linklings.com
SUMMARY:Towards Enabling Digital Twins Capabilities for a Cloud Chamber
DESCRIPTION:Jiaqi Yang (Emory University); Mohammad Atif, Vanessa Lopez-Ma
 rrero, Tao Zhang, Kwang Min Yu, Meifeng Lin, Lingda Li, Fan Yang, and Yang
 ang Liu (Brookhaven National Laboratory); and Abdullahalmut Sharfuddin and
  Foluso Ladeinde (Stony Brook University)\n\nParticle-resolved direct nume
 rical simulations (PR-DNS), which resolve not only the smallest turbulent 
 eddies but also track the development and motion of individual particles, 
 are arguably an essential tool for exploring aerosol-cloud-turbulence inte
 ractions at the fundamental level. For instance, PR-DNS may complement exp
 erimental facilities designed to study key physical processes in a control
 led environment and therefore serve as digital twins for such cloud chambe
 rs. In this poster we present our ongoing work aimed at enabling the use o
 f a PR-DNS model for this purpose. We consider two approaches: traditional
  HPC techniques and emerging machine learning methods. Future research dir
 ections are outlined as well.\n\nTag: Artificial Intelligence/Machine Lear
 ning, Architecture and Networks, Heterogeneous Computing, I/O and File Sys
 tems, Performance Measurement, Modeling, and Tools, Post-Moore Computing, 
 Programming Frameworks and System Software, Quantum Computing\n\nRegistrat
 ion Category: Tech Program Reg Pass, Exhibits Reg Pass\n\n
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