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DTSTAMP:20211207T054724Z
LOCATION:240-241-242
DTSTART;TZID=America/Chicago:20211117T133000
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UID:submissions.supercomputing.org_SC21_sess249_gbv104@linklings.com
SUMMARY:#COVIDisAirborne: AI-Enabled Multiscale Computational Microscopy o
 f Delta SARS-CoV-2 in a Respiratory Aerosol
DESCRIPTION:ACM Gordon Bell Finalist, Awards Presentation\n\n#COVIDisAirbo
 rne: AI-Enabled Multiscale Computational Microscopy of Delta SARS-CoV-2 in
  a Respiratory Aerosol\n\n#COVIDisAirborne, Amaro, Stone, Miller, Chong...
 \n\nWe seek to completely revise current models of airborne transmission o
 f respiratory viruses by providing never-before-seen atomic-level views of
  the SARS-CoV-2 virus within a respiratory aerosol. Our work dramatically 
 extends the capabilities of multiscale computational microscopy to address
  the significant gaps that exist in current experimental methods, which ar
 e limited in their ability to interrogate aerosols at the atomic/molecular
  level and thus obscure our understanding of airborne transmission. We dem
 onstrate how our integrated data-driven platform provides a new way of exp
 loring the composition, structure, and dynamics of aerosols and aerosolize
 d viruses, while driving simulation method development along several impor
 tant axes. We present a series of initial scientific discoveries for the S
 ARS-CoV-2 Delta variant, noting that the full scientific impact of this wo
 rk has yet to be realized.\n\nTag: AI-HPC Convergence, Computational Scien
 ce, Extreme Scale Computing, Performance, Scientific Computing\n\nRegistra
 tion Category: Tech Program Reg Pass
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