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17 March 2023 Subwavelength metamaterial devices with optimization and machine learning
Daniele Melati, Zindine Mokeddem, Paula Nuño-Ruano, Eric Cassan, Delphine Marris-Morini, Laurent Vivien, Carlos Alonso-Ramos, Yuri Grinberg, Muhammad Al-Digeil, Dan-Xia Xu, Maziyar Milanizadeh, Jianhao Zhang, Jens H. Schmid, Pavel Cheben, Shahrzad Khajavi, Winnie Ye, Abi Waqas, Paolo Manfredi
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Proceedings Volume PC12425, Smart Photonic and Optoelectronic Integrated Circuits 2023; PC1242509 (2023) https://doi.org/10.1117/12.2649953
Event: SPIE OPTO, 2023, San Francisco, California, United States
Abstract
Subwavelength metamaterials allow to synthesize tailored optical properties which enabled the demonstration of photonic devices with unprecedented performance and scale of integration. Yet, the development of metamaterial-based devices often involves a large number of interrelated parameters and figures of merit whose manual design can be impractical or lead to suboptimal solutions. In this invited talk, we will discuss the potentiality offered by multi-objective optimization and machine learning for the design of high-performance photonic devices based on metamaterials. We will present both integrated devices for on-chip photonic systems as well as recent advances in the development of devices for free-space applications and optical beam control.
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Daniele Melati, Zindine Mokeddem, Paula Nuño-Ruano, Eric Cassan, Delphine Marris-Morini, Laurent Vivien, Carlos Alonso-Ramos, Yuri Grinberg, Muhammad Al-Digeil, Dan-Xia Xu, Maziyar Milanizadeh, Jianhao Zhang, Jens H. Schmid, Pavel Cheben, Shahrzad Khajavi, Winnie Ye, Abi Waqas, and Paolo Manfredi "Subwavelength metamaterial devices with optimization and machine learning", Proc. SPIE PC12425, Smart Photonic and Optoelectronic Integrated Circuits 2023, PC1242509 (17 March 2023); https://doi.org/10.1117/12.2649953
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KEYWORDS
Metamaterials
Machine learning
Control systems
Photonic devices
Photonics
Photonics systems
Silicon
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