Photonics for computing and computing for photonics

Brunner, Daniel; Marandi, Alireza; Bogaerts, Wim; Ozcan, Aydogan

doi:10.1515/nanoph-2020-0470

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Photonics for computing and computing for photonics

Author(s): Daniel Brunner ¹ , Alireza Marandi ² , Wim Bogaerts ³ , Aydogan Ozcan ⁴

Publication date (Print): September 02 2020

Journal: Nanophotonics

Publisher: Walter de Gruyter GmbH

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Most cited references 23

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Deep learning with coherent nanophotonic circuits

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Programmable silicon nanophotonic processor empowers optical neural networks.

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BISTABLE OPTICAL ELEMENT AND ITS APPLICATIONS

V. Daneu, A Szoke, N. A. Kurnit … (1969)

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Adjoint Method and Inverse Design for Nonlinear Nanophotonic Devices

Tyler Hughes, Momchil Minkov, Ian A. D. Williamson … (2018)

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Author and article information

Journal

Title: Nanophotonics

Publisher: Walter de Gruyter GmbH

ISSN (Electronic): 2192-8614

ISSN (Print): 2192-8606

Publication date Created: September 02 2020

Publication date (Print): September 02 2020

Volume: 9

Issue: 13

Pages: 4053-4054

Affiliations

[1 ]Institut FEMTO-ST, Université Bourgogne Franche-Comté, CNRS UMR6174, Besançon, France

[2 ]California Institute of Technology, Department of Electrical Engineering, Pasadena, CA, USA

[3 ]Photonics Research Group, Ghent University-IMEC, Ghent, Belgium

[4 ]Electrical and Computer Engineering Department, University of California, Los Angeles, CA 90095, USA

Article

DOI: 10.1515/nanoph-2020-0470

SO-VID: 2304514d-e5a8-4e80-b8f7-7feb7a6b4e57

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http://creativecommons.org/licenses/by/4.0

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