Article cité par

La fonctionnalité Article cité par… liste les citations d'un article. Ces citations proviennent de la base de données des articles de EDP Sciences, ainsi que des bases de données d'autres éditeurs participant au programme CrossRef Cited-by Linking Program. Vous pouvez définir une alerte courriel pour être prévenu de la parution d'un nouvel article citant " cet article (voir sur la page du résumé de l'article le menu à droite).

Article cité :

Optical neural networks: The 3D connection

Niyazi Ulas Dinc, Demetri Psaltis, Daniel Brunner

Photoniques, 104 (2020) 34-38

Publié en ligne : 2020-11-09

DOI: https://doi.org/10.1051/photon/202010434

PDF (430.6 KB)

Citations de cet article :

Volume holograms with linear diffraction efficiency relation by (3 + 1)D printing

Niyazi Ulas Dinc, Christophe Moser and Demetri Psaltis
Optics Letters 49 (2) 322 (2024)
https://doi.org/10.1364/OL.508097

Free-standing microscale photonic lantern spatial mode (De-)multiplexer fabricated using 3D nanoprinting

Yoav Dana, Yehudit Garcia, Aleksei Kukin, Lauren Dallachiesa, Sterenn Guerrier, Nicolas K. Fontaine and Dan M. Marom
Light: Science & Applications 13 (1) (2024)
https://doi.org/10.1038/s41377-024-01466-6

The physics of optical computing

Peter L. McMahon
Nature Reviews Physics 5 (12) 717 (2023)
https://doi.org/10.1038/s42254-023-00645-5

Additive 3D photonic integration that is CMOS compatible

Adrià Grabulosa, Johnny Moughames, Xavier Porte, Muamer Kadic and Daniel Brunner
Nanotechnology 34 (32) 322002 (2023)
https://doi.org/10.1088/1361-6528/acd0b5

From 3D to 2D and back again

Niyazi Ulas Dinc, Amirhossein Saba, Jorge Madrid-Wolff, Carlo Gigli, Antoine Boniface, Christophe Moser and Demetri Psaltis
Nanophotonics 12 (5) 777 (2023)
https://doi.org/10.1515/nanoph-2022-0512

Understanding and mitigating noise in trained deep neural networks

Nadezhda Semenova, Laurent Larger and Daniel Brunner
Neural Networks 146 151 (2022)
https://doi.org/10.1016/j.neunet.2021.11.008

Analog Optical Computing for Artificial Intelligence

Jiamin Wu, Xing Lin, Yuchen Guo, et al.
Engineering 10 133 (2022)
https://doi.org/10.1016/j.eng.2021.06.021

Niyazi Ulas Dinc, Christophe Moser and Demetri Psaltis
Tu2A.5 (2022)
https://doi.org/10.1364/DH.2022.Tu2A.5

Noise-mitigation strategies in physical feedforward neural networks

N. Semenova and D. Brunner
Chaos: An Interdisciplinary Journal of Nonlinear Science 32 (6) (2022)
https://doi.org/10.1063/5.0096637

Fault tolerance and noise immunity in freespace diffractive optical neural networks

Soumyashree S Panda and Ravi S Hegde
Engineering Research Express 4 (1) 011301 (2022)
https://doi.org/10.1088/2631-8695/ac4832

Prospects and applications of photonic neural networks

Chaoran Huang, Volker J. Sorger, Mario Miscuglio, et al.
Advances in Physics: X 7 (1) (2022)
https://doi.org/10.1080/23746149.2021.1981155

Combining one and two photon polymerization for accelerated high performance (3 + 1)D photonic integration

Adrià Grabulosa, Johnny Moughames, Xavier Porte and Daniel Brunner
Nanophotonics 11 (8) 1591 (2022)
https://doi.org/10.1515/nanoph-2021-0733

A complete, parallel and autonomous photonic neural network in a semiconductor multimode laser

Xavier Porte, Anas Skalli, Nasibeh Haghighi, et al.
Journal of Physics: Photonics 3 (2) 024017 (2021)
https://doi.org/10.1088/2515-7647/abf6bd

Direct (3+1)D laser writing of graded-index optical elements

Xavier Porte, Niyazi Ulas Dinc, Johnny Moughames, et al.
Optica 8 (10) 1281 (2021)
https://doi.org/10.1364/OPTICA.433475

Competitive photonic neural networks

Daniel Brunner and Demetri Psaltis
Nature Photonics 15 (5) 323 (2021)
https://doi.org/10.1038/s41566-021-00803-0