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1 August 2021 Three-dimensional two-photon polymerization: breakthrough towards scalable integration of photonic neural networks
Adrià Grabulosa i Vallmajó, Johnny Moughames, Xavier Porte, Muamer Kadic, Daniel Brunner
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Proceedings Volume 11804, Emerging Topics in Artificial Intelligence (ETAI) 2021; 1180405 (2021) https://doi.org/10.1117/12.2593926
Event: SPIE Nanoscience + Engineering, 2021, San Diego, California, United States
Abstract
3D two-photon polymerization has shown to be an enabling tool allowing dynamic and precise printing of submicrometric optical components. Here, we focus on direct laser writing for the additive fabrication of 3D photonic waveguides, which are prime candidates for integrated, ultra-fast and parallel photonic interconnects. We here present a novel approach based on 3D optical splitters leveraging adiabatic coupling, which ensures a smooth single-mode transition between input and output waveguides. This unique 3D canonical architecture represents a clear breakthrough overcoming the long-standing challenges of parallel and scalable connections with high integration density for high-speed and energy-efficient neural networks computers.
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Adrià Grabulosa i Vallmajó, Johnny Moughames, Xavier Porte, Muamer Kadic, and Daniel Brunner "Three-dimensional two-photon polymerization: breakthrough towards scalable integration of photonic neural networks", Proc. SPIE 11804, Emerging Topics in Artificial Intelligence (ETAI) 2021, 1180405 (1 August 2021); https://doi.org/10.1117/12.2593926
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KEYWORDS
Neural networks
Two photon polymerization
Integrated optics
Waveguides
3D printing
Additive manufacturing
Optical interconnects
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