Programmable chalcogenide-based all-optical deep neural networks Article Swipe
Ting Yu Teo
,
Xiaoxuan Ma
,
Ernest Pastor
,
Hao Wang
,
Jonathan George
,
Joel K. W. Yang
,
Simon Wall
,
Mario Miscuglio
,
Robert E. Simpson
,
Volker J. Sorger
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1515/nanoph-2022-0099
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1515/nanoph-2022-0099
We demonstrate a passive all-chalcogenide all-optical perceptron scheme. The network’s nonlinear activation function (NLAF) relies on the nonlinear response of Ge 2 Sb 2 Te 5 to femtosecond laser pulses. We measured the sub-picosecond time-resolved optical constants of Ge 2 Sb 2 Te 5 at a wavelength of 1500 nm and used them to design a high-speed Ge 2 Sb 2 Te 5 -tuned microring resonator all-optical NLAF. The NLAF had a sigmoidal response when subjected to different laser fluence excitation and had a dynamic range of −9.7 dB. The perceptron’s waveguide material was AlN because it allowed efficient heat dissipation during laser switching. A two-temperature analysis revealed that the operating speed of the NLAF is ≤ 1 $\le 1$ ns. The percepton’s nonvolatile weights were set using low-loss Sb 2 S 3 -tuned Mach Zehnder interferometers (MZIs). A three-layer deep neural network model was used to test the feasibility of the network scheme and a maximum training accuracy of 94.5% was obtained. We conclude that combining Sb 2 S 3 -programmed MZI weights with the nonlinear response of Ge 2 Sb 2 Te 5 to femtosecond pulses is sufficient to perform energy-efficient all-optical neural classifications at rates greater than 1 GHz.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1515/nanoph-2022-0099
- https://www.degruyter.com/document/doi/10.1515/nanoph-2022-0099/pdf
- OA Status
- gold
- Cited By
- 54
- References
- 77
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4281493754
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4281493754Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1515/nanoph-2022-0099Digital Object Identifier
- Title
-
Programmable chalcogenide-based all-optical deep neural networksWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-05-25Full publication date if available
- Authors
-
Ting Yu Teo, Xiaoxuan Ma, Ernest Pastor, Hao Wang, Jonathan George, Joel K. W. Yang, Simon Wall, Mario Miscuglio, Robert E. Simpson, Volker J. SorgerList of authors in order
- Landing page
-
https://doi.org/10.1515/nanoph-2022-0099Publisher landing page
- PDF URL
-
https://www.degruyter.com/document/doi/10.1515/nanoph-2022-0099/pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.degruyter.com/document/doi/10.1515/nanoph-2022-0099/pdfDirect OA link when available
- Concepts
-
Chalcogenide, Nanomaterials, Materials science, Artificial neural network, Computer science, Nanotechnology, Computer architecture, Optoelectronics, Artificial intelligenceTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
54Total citation count in OpenAlex
- Citations by year (recent)
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2025: 9, 2024: 17, 2023: 19, 2022: 9Per-year citation counts (last 5 years)
- References (count)
-
77Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.classifications | 202 |
| abstract_inverted_index.interferometers | 143 |
| abstract_inverted_index.two-temperature | 106 |
| abstract_inverted_index.<m:mo>≤</m:mo> | 121 |
| abstract_inverted_index.all-chalcogenide | 5 |
| abstract_inverted_index.energy-efficient | 199 |
| abstract_inverted_index.overflow="scroll"> | 119 |
| abstract_inverted_index.xmlns:m="http://www.w3.org/1998/Math/MathML" | 118 |
| cited_by_percentile_year.max | 100 |
| cited_by_percentile_year.min | 99 |
| corresponding_author_ids | https://openalex.org/A5053069725, https://openalex.org/A5027506661, https://openalex.org/A5028850562 |
| countries_distinct_count | 4 |
| institutions_distinct_count | 10 |
| corresponding_institution_ids | https://openalex.org/I152815399, https://openalex.org/I193531525 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.9100000262260437 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.97781364 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |