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UID:pretalx-juliacon-2026-YCXBKT@pretalx.com
DTSTART;TZID=CET:20260814T101500
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DESCRIPTION:[FluxOptics.jl](https://github.com/anscoil/FluxOptics.jl) is a 
 Julia framework for differentiable optical inverse design. It enables both
  rapid prototyping relying on automatic differentiation with Zygote.jl and
  production performance through algorithmic differentiation and custom gra
 dient rules. The framework provides memory-efficient optimization through 
 controlled buffer management\, while maintaining a composable architecture
 . Benchmarks against JAX show competitive performance while handling large
 r problems\, demonstrating Julia's strengths for computational physics app
 lications.
DTSTAMP:20260502T104504Z
LOCATION:Room 6
SUMMARY:FluxOptics.jl: A Composable Framework for Optical Inverse Design in
  Julia - Nicolas Barré
URL:https://pretalx.com/juliacon-2026/talk/YCXBKT/
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