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Optical thin-film design has been intensely studied over the last decades and there exist methods to synthetize numerous optical functions, usually considering only specular spectral responses. Benefiting from the rise of artificial intelligence, new methods seek to provide other solutions. Light scattering properties have rarely been taken into account in the design of thin-films because of their extreme complexity, even though it might be critical for some demanding applications. We propose a light scattering-based design method of complex thin-films using deep neural networks. Our implementation aims to design components with controlled light scattering levels and acceptable specular properties.
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Marin Fouchier, Myriam Zerrad, Michel Lequime, Claude Amra, "Design of complex optical thin-films based on light scattering properties and using deep neural networks," Proc. SPIE 11872, Advances in Optical Thin Films VII, 1187205 (12 September 2021); https://doi.org/10.1117/12.2597107