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Deep neural networks for the evaluation and design of photonic devices
The data-science revolution is poised to transform the way photonic systems are simulated
and designed. Photonic systems are, in many ways, an ideal substrate for machine learning …
and designed. Photonic systems are, in many ways, an ideal substrate for machine learning …
Free-form optimization of nanophotonic devices: from classical methods to deep learning
Nanophotonic devices have enabled microscopic control of light with an unprecedented
spatial resolution by employing subwavelength optical elements that can strongly interact …
spatial resolution by employing subwavelength optical elements that can strongly interact …
Inverse design enables large-scale high-performance meta-optics resha** virtual reality
Meta-optics has achieved major breakthroughs in the past decade; however, conventional
forward design faces challenges as functionality complexity and device size scale up …
forward design faces challenges as functionality complexity and device size scale up …
Inverse design of photonic crystals through automatic differentiation
Gradient-based inverse design in photonics has already achieved remarkable results in
designing small-footprint, high-performance optical devices. The adjoint variable method …
designing small-footprint, high-performance optical devices. The adjoint variable method …
On-chip integrated laser-driven particle accelerator
Particle accelerators represent an indispensable tool in science and industry. However, the
size and cost of conventional radio-frequency accelerators limit the utility and reach of this …
size and cost of conventional radio-frequency accelerators limit the utility and reach of this …
Photonic topology optimization with semiconductor-foundry design-rule constraints
We present a unified density-based topology-optimization framework that yields integrated
photonic designs optimized for manufacturing constraints including all those of commercial …
photonic designs optimized for manufacturing constraints including all those of commercial …
Nanophotonic inverse design with SPINS: Software architecture and practical considerations
This paper presents a computational nanophotonic design library for gradient-based
optimization called the Stanford Photonic INverse design Software (SPINS). Borrowing the …
optimization called the Stanford Photonic INverse design Software (SPINS). Borrowing the …
Inverse design of digital nanophotonic devices using the adjoint method
A high-efficiency inverse design of “digital” subwavelength nanophotonic devices using the
adjoint method is proposed. We design a single-mode 3 dB power divider and a dual-mode …
adjoint method is proposed. We design a single-mode 3 dB power divider and a dual-mode …
Tandem neural network based design of multiband antennas
We present a deep neural network-based framework for designing multiband microstrip
antennas given a desired impedance matching spectrum. The approach enables a design …
antennas given a desired impedance matching spectrum. The approach enables a design …
Software-defined nanophotonic devices and systems empowered by machine learning
Nanophotonic devices, such as metasurfaces and silicon photonic components, have been
progressively demonstrated to be efficient and versatile alternatives to their bulky …
progressively demonstrated to be efficient and versatile alternatives to their bulky …