Approximate solvers and statistical optics for efficient simulation and optimization in photonics

#photonics #metasurfaces #aperiodic #patterns #large-scale #optimization
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Join the IEEE Montréal Section and its' IEEE Photonics Society Chapter for a technical talk by Dr. Raphaël Pestourie, PhD .

In photonics, fabrication technologies now enable us to build devices, e.g. metasurfaces, that have aperiodic patterns at the scale of the wavelength and diameters of thousands of wavelengths, which present an unprecedented opportunity to shape light with complex objectives. However, these devices are very challenging to simulate and even harder to optimize. This talk will present ways to harness the full computational power of modern large-scale optimization in order to design metasurfaces by exploiting domain-decomposition approximations and surrogate models. We will also present recent experimental results of large-area lenses that are achromatic for several wavelengths across the visible. Finally, we will present an efficient way to simulate and optimize collimators and concentrators for incoherent light using reciprocal simulations.



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  • Date: 30 Sep 2022
  • Time: 05:00 PM to 06:30 PM
  • All times are (UTC-04:00) Eastern Time (US & Canada)
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  • Co-sponsored by INRS, STARaCom
  • Starts 20 September 2022 02:48 AM
  • Ends 30 September 2022 05:14 PM
  • All times are (UTC-04:00) Eastern Time (US & Canada)
  • No Admission Charge


  Speakers

Dr. Raphaël Pestourie Dr. Raphaël Pestourie of MIT Mathematics

Topic:

Approximate solvers and statistical optics for efficient simulation and optimization in photonics

In photonics, fabrication technologies now enable us to build devices, e.g. metasurfaces, that have aperiodic patterns at the scale of the wavelength and diameters of thousands of wavelengths, which present an unprecedented opportunity to shape light with complex objectives. However, these devices are very challenging to simulate and even harder to optimize. This talk will present ways to harness the full computational power of modern large-scale optimization in order to design metasurfaces by exploiting domain-decomposition approximations and surrogate models. We will also present recent experimental results of large-area lenses that are achromatic for several wavelengths across the visible. Finally, we will present an efficient way to simulate and optimize collimators and concentrators for incoherent light using reciprocal simulations.

Biography:

Dr. Raphaël Pestouri has been a postdoctoral associate at MIT Mathematics funded by IBM since 2020. His current research leverages data and partial differential equations in efficient simulation and optimization to achieve high-performance at low cost. Originally from France, Raphaël earned a dual degree between ESSEC Business School and École Centrale Paris. He earned a Master’s of research in Nanosciences at Université Paris Saclay. He conducted his master’s research on metamaterials at UC Berkeley in the lab of Prof. Xiang Zhang. He earned a Ph.D. in applied mathematics from Harvard University as a fellow from Fulbright France. His Ph.D. research was about inverse design for metasurfaces, and he was co-advised between Federico Capasso and Steven Johnson at MIT.