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SUMMARY:Optimal Uncertainty Quantification of SciML Models - Chris Rackauc
 kas\, Adam R. Gerlach\, Avinash Subramanian\, Benjamin Chung\, Alexander V
 on Moll
DTSTART;TZID=America/New_York:20250723T150000
DTEND;TZID=America/New_York:20250723T151000
DTSTAMP:20260819T172545Z
UID:pretalx-juliacon-2025-EJSMQD@pretalx.com
DESCRIPTION:We present OptimalUncertaintyQuantification.jl: A SciML packag
 e for end-to-end distributionally robust uncertainty quantification of sta
 tic and dynamic systems models. The tool performs a worst-case analysis so
  as to make certification/decertification decisions on engineering models 
 defined in ModelingToolkit.jl as demonstrated on a variety of aerospace an
 d structural engineering applications.
LOCATION:Cathedral Room 324 - Else Room
URL:https://pretalx.com/juliacon-2025/talk/EJSMQD/
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SUMMARY:Modeling of Fluid Systems in Dyad - Michael Tiller\, Avinash Subra
 manian\, Venkatesh Prasad
DTSTART;TZID=America/New_York:20250724T150000
DTEND;TZID=America/New_York:20250724T153000
DTSTAMP:20260819T172545Z
UID:pretalx-juliacon-2025-3QKB33@pretalx.com
DESCRIPTION:This talk demonstrates how the difficult problem of modeling f
 luid systems is tackled in Dyad.  We will cover various numerical and symb
 olic challenges that we face and then provide a detailed discussion of how
  we model the properties of different types of fluids across a range of en
 gineering applications including applications like HVAC\, power fluids and
  so on.
LOCATION:Lawrence Room 120 - REPL Main Stage
URL:https://pretalx.com/juliacon-2025/talk/3QKB33/
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