Optical system design using broadband diffractive neural networks

Yi Luo; Deniz Mengu; Nezih T. Yardimci; Yair Rivenson; Muhammed Veli; Mona Jarrahi; Aydogan Ozcan

doi:10.1117/12.2568195

20 August 2020 Optical system design using broadband diffractive neural networks

Yi Luo, Deniz Mengu, Nezih T. Yardimci, Yair Rivenson, Muhammed Veli, Mona Jarrahi, Aydogan Ozcan

Proceedings Volume 11469, Emerging Topics in Artificial Intelligence 2020; 114690R (2020) https://doi.org/10.1117/12.2568195
Event: SPIE Nanoscience + Engineering, 2020, Online Only

Abstract

We present a diffractive deep neural network-based framework that can simultaneously process a continuum of illumination wavelengths to perform a specific task that it is trained for. Based on this framework, we designed and 3D printed a series of optical systems including single and double pass-band filters as well as a spatially-controlled wavelength de-multiplexing system using a broadband THz pulse as input, revealing an excellent match between our numerical design and experimental results. The presented optical design framework based on diffractive neural networks can be adapted to other parts of the spectrum and be extended to create task-specific metasurface designs.

Conference Presentation

Citation Download Citation

Yi Luo, Deniz Mengu, Nezih T. Yardimci, Yair Rivenson, Muhammed Veli, Mona Jarrahi, and Aydogan Ozcan "Optical system design using broadband diffractive neural networks", Proc. SPIE 11469, Emerging Topics in Artificial Intelligence 2020, 114690R (20 August 2020); https://doi.org/10.1117/12.2568195

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