BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/New_York
X-LIC-LOCATION:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20210402T160205Z
LOCATION:Track 8
DTSTART;TZID=America/New_York:20201118T100000
DTEND;TZID=America/New_York:20201118T102200
UID:submissions.supercomputing.org_SC20_sess285_rpost113@linklings.com
SUMMARY:AI Meets HPC: Learning the Cell Motion in Biofluids
DESCRIPTION:Posters, Research Posters\n\nAI Meets HPC: Learning the Cell M
 otion in Biofluids\n\nZhang, Zhang, Han, Cong, Yang...\n\nWe generalized t
 he century-old Jeffery orbits equation, by a novel biomechanics-informed o
 nline learning framework using simulation data at atomic resolutions, to a
  new equation of motion for flowing cells to account for the fluid conditi
 ons and the cell deformable structures. To validate, we examined the motio
 ns, dominantly rotations, of a human platelet in viscous blood flow at var
 ious shear stresses and platelet deformability. With the flow and platelet
  parameters learned from our framework, the new equation captures motions 
 of the platelet accurately. This learned equation will help reduce greatly
  the complexity of simulating cells in biofluids and, in the case of plate
 lets, of analyzing blood clot formation.\n\nRegistration Category: Tech Pr
 ogram Reg Pass
END:VEVENT
END:VCALENDAR