Quantized Inverse Design for Photonic Integrated Circuits.

ABSTRACT: The inverse design of photonic integrated circuits (PICs) presents distinctive computational challenges, including their large memory requirements. Advancements in the two-photon polymerization (2PP) fabrication process introduce additional complexity, necessitating the development of more flexible optimization algorithms to enable the creation of multimaterial 3D structures with unique properties. This paper presents a memory efficient reverse-mode automatic differentiation framework for finite-difference time-domain (FDTD) simulations that can handle complex constraints arising from novel fabrication methods. Our method is based on straight-through gradient estimation that enables nondifferentiable shape parametrizations. We demonstrate the effectiveness of our approach by creating incre

SUBMITTER: Schubert F 

PROVIDER: S-EPMC11822695 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature