Presentation
16 November 2022 Design and manufacturing of freeform metasurfaces
Jonathan A. Fan
Author Affiliations +
Abstract
We will discuss the design and manufacturing of freeform metasurfaces that exhibit high efficiency, multi-functional capabilities. First, we will discuss local and global gradient-based optimization algorithms that can produce non-intuitive, curvilinear designs utilizing multi-scattering light-matter interactions to achieve high performance. Second, we will discuss how physics-augmented deep networks can be trained with a combination of data and physical constraints to serve as accurate surrogate electromagnetic solvers that can produce solutions three to four orders of magnitude faster than with conventional methods. Third, we will introduce a concept termed reparameterization that can enforce hard design constraints, such as fabrication-dictated minimum feature sizes, into the design process. Finally, we discuss future challenges and opportunities to freeform photonics implementation.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jonathan A. Fan "Design and manufacturing of freeform metasurfaces", Proc. SPIE PC12293, Photomask Technology 2022, PC122930D (16 November 2022); https://doi.org/10.1117/12.2643331
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KEYWORDS
Design for manufacturability

Manufacturing

Electromagnetism

Light-matter interactions

Optimization (mathematics)

Photonics

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