Transparent conductive oxides as a material platform for a realization of all-optical photonic neural networks
Abstract Photonics integrated circuits have an enormous potential to serve as a framework for a new class of information processing machines and can enable ultrafast artificial neural networks. They can overcome the existing speed and power limits of the electronic processing elements and provide ad...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-96226-w |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849763217069309952 |
|---|---|
| author | Jacek Gosciniak Jacob. B. Khurgin |
| author_facet | Jacek Gosciniak Jacob. B. Khurgin |
| author_sort | Jacek Gosciniak |
| collection | DOAJ |
| description | Abstract Photonics integrated circuits have an enormous potential to serve as a framework for a new class of information processing machines and can enable ultrafast artificial neural networks. They can overcome the existing speed and power limits of the electronic processing elements and provide additional benefits of photonics such as high-bandwidth, sub-nanosecond latencies and low-energy interconnect credentials leading to a new paradigm called neuromorphic photonics. The main obstacle to realizing such a task is a lack of proper material platform that imposes serious requirements on the architecture of the network. Here we suggest and justify that transparent conductive oxides can be an excellent candidate for such a task as they provide nonlinearity and bistability under both optical and electrical inputs. |
| format | Article |
| id | doaj-art-e73ae81341ca40ccbbd3a41b21c7b797 |
| institution | DOAJ |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-e73ae81341ca40ccbbd3a41b21c7b7972025-08-20T03:05:29ZengNature PortfolioScientific Reports2045-23222025-07-0115111010.1038/s41598-025-96226-wTransparent conductive oxides as a material platform for a realization of all-optical photonic neural networksJacek Gosciniak0Jacob. B. Khurgin1Institute of Microelectronics and Optoelectronics, Warsaw University of TechnologyElectrical and Computer Engineering Department, Johns Hopkins UniversityAbstract Photonics integrated circuits have an enormous potential to serve as a framework for a new class of information processing machines and can enable ultrafast artificial neural networks. They can overcome the existing speed and power limits of the electronic processing elements and provide additional benefits of photonics such as high-bandwidth, sub-nanosecond latencies and low-energy interconnect credentials leading to a new paradigm called neuromorphic photonics. The main obstacle to realizing such a task is a lack of proper material platform that imposes serious requirements on the architecture of the network. Here we suggest and justify that transparent conductive oxides can be an excellent candidate for such a task as they provide nonlinearity and bistability under both optical and electrical inputs.https://doi.org/10.1038/s41598-025-96226-w |
| spellingShingle | Jacek Gosciniak Jacob. B. Khurgin Transparent conductive oxides as a material platform for a realization of all-optical photonic neural networks Scientific Reports |
| title | Transparent conductive oxides as a material platform for a realization of all-optical photonic neural networks |
| title_full | Transparent conductive oxides as a material platform for a realization of all-optical photonic neural networks |
| title_fullStr | Transparent conductive oxides as a material platform for a realization of all-optical photonic neural networks |
| title_full_unstemmed | Transparent conductive oxides as a material platform for a realization of all-optical photonic neural networks |
| title_short | Transparent conductive oxides as a material platform for a realization of all-optical photonic neural networks |
| title_sort | transparent conductive oxides as a material platform for a realization of all optical photonic neural networks |
| url | https://doi.org/10.1038/s41598-025-96226-w |
| work_keys_str_mv | AT jacekgosciniak transparentconductiveoxidesasamaterialplatformforarealizationofallopticalphotonicneuralnetworks AT jacobbkhurgin transparentconductiveoxidesasamaterialplatformforarealizationofallopticalphotonicneuralnetworks |