Integrating molecular photoswitch memory with nanoscale optoelectronics for neuromorphic computing
Abstract Photonic solutions are potentially highly competitive for energy-efficient neuromorphic computing. However, a combination of specialized nanostructures is needed to implement all neuro-biological functionality. Here, we show that donor-acceptor Stenhouse adduct dyes integrated with III-V se...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-01-01
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| Series: | Communications Materials |
| Online Access: | https://doi.org/10.1038/s43246-024-00707-w |
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| author | David Alcer Nelia Zaiats Thomas K. Jensen Abbey M. Philip Evripidis Gkanias Nils Ceberg Abhijit Das Vidar Flodgren Stanley Heinze Magnus T. Borgström Barbara Webb Bo W. Laursen Anders Mikkelsen |
| author_facet | David Alcer Nelia Zaiats Thomas K. Jensen Abbey M. Philip Evripidis Gkanias Nils Ceberg Abhijit Das Vidar Flodgren Stanley Heinze Magnus T. Borgström Barbara Webb Bo W. Laursen Anders Mikkelsen |
| author_sort | David Alcer |
| collection | DOAJ |
| description | Abstract Photonic solutions are potentially highly competitive for energy-efficient neuromorphic computing. However, a combination of specialized nanostructures is needed to implement all neuro-biological functionality. Here, we show that donor-acceptor Stenhouse adduct dyes integrated with III-V semiconductor nano-optoelectronics have combined excellent functionality for bio-inspired neural networks. The dye acts as synaptic weights in the optical interconnects, while the nano-optoelectronics provide neuron reception, interpretation and emission of light signals. These dyes can reversibly switch from absorbing to non-absorbing states, using specific wavelength ranges. Together, they show robust and predictable switching, low energy thermal reset and a memory dynamic range from days to sub-seconds that allows both short- and long-term memory operation at natural timescales. Furthermore, as the dyes do not need electrical connections, on-chip integration is simple. We illustrate the functionality using individual nanowire photodiodes as well as arrays. Based on the experimental performance metrics, our on-chip solution is capable of operating an anatomically validated model of the insect brain navigation complex. |
| format | Article |
| id | doaj-art-b799063f819c42be89b4b1b9e36dbaba |
| institution | Kabale University |
| issn | 2662-4443 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Communications Materials |
| spelling | doaj-art-b799063f819c42be89b4b1b9e36dbaba2025-01-19T12:32:55ZengNature PortfolioCommunications Materials2662-44432025-01-016111110.1038/s43246-024-00707-wIntegrating molecular photoswitch memory with nanoscale optoelectronics for neuromorphic computingDavid Alcer0Nelia Zaiats1Thomas K. Jensen2Abbey M. Philip3Evripidis Gkanias4Nils Ceberg5Abhijit Das6Vidar Flodgren7Stanley Heinze8Magnus T. Borgström9Barbara Webb10Bo W. Laursen11Anders Mikkelsen12Department of Physics and NanoLund, Lund UniversityDepartment of Physics and NanoLund, Lund UniversityDepartment of Physics and NanoLund, Lund UniversityNano-Science Center and Department of Chemistry, University of CopenhagenSchool of Informatics, University of EdinburghDepartment of Biology, Lund UniversityDepartment of Physics and NanoLund, Lund UniversityDepartment of Physics and NanoLund, Lund UniversityDepartment of Biology, Lund UniversityDepartment of Physics and NanoLund, Lund UniversitySchool of Informatics, University of EdinburghNano-Science Center and Department of Chemistry, University of CopenhagenDepartment of Physics and NanoLund, Lund UniversityAbstract Photonic solutions are potentially highly competitive for energy-efficient neuromorphic computing. However, a combination of specialized nanostructures is needed to implement all neuro-biological functionality. Here, we show that donor-acceptor Stenhouse adduct dyes integrated with III-V semiconductor nano-optoelectronics have combined excellent functionality for bio-inspired neural networks. The dye acts as synaptic weights in the optical interconnects, while the nano-optoelectronics provide neuron reception, interpretation and emission of light signals. These dyes can reversibly switch from absorbing to non-absorbing states, using specific wavelength ranges. Together, they show robust and predictable switching, low energy thermal reset and a memory dynamic range from days to sub-seconds that allows both short- and long-term memory operation at natural timescales. Furthermore, as the dyes do not need electrical connections, on-chip integration is simple. We illustrate the functionality using individual nanowire photodiodes as well as arrays. Based on the experimental performance metrics, our on-chip solution is capable of operating an anatomically validated model of the insect brain navigation complex.https://doi.org/10.1038/s43246-024-00707-w |
| spellingShingle | David Alcer Nelia Zaiats Thomas K. Jensen Abbey M. Philip Evripidis Gkanias Nils Ceberg Abhijit Das Vidar Flodgren Stanley Heinze Magnus T. Borgström Barbara Webb Bo W. Laursen Anders Mikkelsen Integrating molecular photoswitch memory with nanoscale optoelectronics for neuromorphic computing Communications Materials |
| title | Integrating molecular photoswitch memory with nanoscale optoelectronics for neuromorphic computing |
| title_full | Integrating molecular photoswitch memory with nanoscale optoelectronics for neuromorphic computing |
| title_fullStr | Integrating molecular photoswitch memory with nanoscale optoelectronics for neuromorphic computing |
| title_full_unstemmed | Integrating molecular photoswitch memory with nanoscale optoelectronics for neuromorphic computing |
| title_short | Integrating molecular photoswitch memory with nanoscale optoelectronics for neuromorphic computing |
| title_sort | integrating molecular photoswitch memory with nanoscale optoelectronics for neuromorphic computing |
| url | https://doi.org/10.1038/s43246-024-00707-w |
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