From 3D to 2D and back again
The prospect of massive parallelism of optics enabling fast and low energy cost operations is attracting interest for novel photonic circuits where 3-dimensional (3D) implementations have a high potential for scalability. Since the technology for data input–output channels is 2-dimensional (2D), the...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2023-01-01
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| Series: | Nanophotonics |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/nanoph-2022-0512 |
| _version_ | 1797789026418163712 |
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| author | Dinc Niyazi Ulas Saba Amirhossein Madrid-Wolff Jorge Gigli Carlo Boniface Antoine Moser Christophe Psaltis Demetri |
| author_facet | Dinc Niyazi Ulas Saba Amirhossein Madrid-Wolff Jorge Gigli Carlo Boniface Antoine Moser Christophe Psaltis Demetri |
| author_sort | Dinc Niyazi Ulas |
| collection | DOAJ |
| description | The prospect of massive parallelism of optics enabling fast and low energy cost operations is attracting interest for novel photonic circuits where 3-dimensional (3D) implementations have a high potential for scalability. Since the technology for data input–output channels is 2-dimensional (2D), there is an unavoidable need to take 2D-nD transformations into account. Similarly, the 3D-2D and its reverse transformations are also tackled in a variety of fields such as optical tomography, additive manufacturing, and 3D optical memories. Here, we review how these 3D-2D transformations are tackled using iterative techniques and neural networks. This high-level comparison across different, yet related fields could yield a useful perspective for 3D optical design. |
| first_indexed | 2024-03-13T01:44:57Z |
| format | Article |
| id | doaj.art-a845c156a1ea42f8bece04a9c4de74d8 |
| institution | Directory Open Access Journal |
| issn | 2192-8614 |
| language | English |
| last_indexed | 2024-03-13T01:44:57Z |
| publishDate | 2023-01-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Nanophotonics |
| spelling | doaj.art-a845c156a1ea42f8bece04a9c4de74d82023-07-03T10:20:08ZengDe GruyterNanophotonics2192-86142023-01-0112577779310.1515/nanoph-2022-0512From 3D to 2D and back againDinc Niyazi Ulas0Saba Amirhossein1Madrid-Wolff Jorge2Gigli Carlo3Boniface Antoine4Moser Christophe5Psaltis Demetri6Optics Laboratory, École polytechnique fédérale de Lausanne, Lausanne, SwitzerlandOptics Laboratory, École polytechnique fédérale de Lausanne, Lausanne, SwitzerlandLaboratory of Applied Photonics Devices, École polytechnique fédérale de Lausanne, Lausanne, SwitzerlandOptics Laboratory, École polytechnique fédérale de Lausanne, Lausanne, SwitzerlandLaboratory of Applied Photonics Devices, École polytechnique fédérale de Lausanne, Lausanne, SwitzerlandLaboratory of Applied Photonics Devices, École polytechnique fédérale de Lausanne, Lausanne, SwitzerlandOptics Laboratory, École polytechnique fédérale de Lausanne, Lausanne, SwitzerlandThe prospect of massive parallelism of optics enabling fast and low energy cost operations is attracting interest for novel photonic circuits where 3-dimensional (3D) implementations have a high potential for scalability. Since the technology for data input–output channels is 2-dimensional (2D), there is an unavoidable need to take 2D-nD transformations into account. Similarly, the 3D-2D and its reverse transformations are also tackled in a variety of fields such as optical tomography, additive manufacturing, and 3D optical memories. Here, we review how these 3D-2D transformations are tackled using iterative techniques and neural networks. This high-level comparison across different, yet related fields could yield a useful perspective for 3D optical design.https://doi.org/10.1515/nanoph-2022-05123d optical memoryadditive manufacturinginverse designoptical tomographyphotonic circuit design |
| spellingShingle | Dinc Niyazi Ulas Saba Amirhossein Madrid-Wolff Jorge Gigli Carlo Boniface Antoine Moser Christophe Psaltis Demetri From 3D to 2D and back again Nanophotonics 3d optical memory additive manufacturing inverse design optical tomography photonic circuit design |
| title | From 3D to 2D and back again |
| title_full | From 3D to 2D and back again |
| title_fullStr | From 3D to 2D and back again |
| title_full_unstemmed | From 3D to 2D and back again |
| title_short | From 3D to 2D and back again |
| title_sort | from 3d to 2d and back again |
| topic | 3d optical memory additive manufacturing inverse design optical tomography photonic circuit design |
| url | https://doi.org/10.1515/nanoph-2022-0512 |
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