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dc.contributor.authorVijjapu, Mani Teja
dc.contributor.authorFouda, Mohamed E.
dc.contributor.authorAgambayev, Agamyrat
dc.contributor.authorKang, Chun Hong
dc.contributor.authorLin, Chun-Ho
dc.contributor.authorOoi, Boon S.
dc.contributor.authorHe, Jr-Hau
dc.contributor.authorEltawil, Ahmed
dc.contributor.authorSalama, Khaled N.
dc.date.accessioned2022-01-05T07:18:43Z
dc.date.available2022-01-05T07:18:43Z
dc.date.issued2022-01-02
dc.identifier.citationVijjapu, M. T., Fouda, M. E., Agambayev, A., Kang, C. H., Lin, C.-H., Ooi, B. S., … Salama, K. N. (2022). A flexible capacitive photoreceptor for the biomimetic retina. Light: Science & Applications, 11(1). doi:10.1038/s41377-021-00686-4
dc.identifier.issn2095-5545
dc.identifier.pmid34974516
dc.identifier.doi10.1038/s41377-021-00686-4
dc.identifier.urihttp://hdl.handle.net/10754/674874
dc.description.abstractNeuromorphic vision sensors have been extremely beneficial in developing energy-efficient intelligent systems for robotics and privacy-preserving security applications. There is a dire need for devices to mimic the retina's photoreceptors that encode the light illumination into a sequence of spikes to develop such sensors. Herein, we develop a hybrid perovskite-based flexible photoreceptor whose capacitance changes proportionally to the light intensity mimicking the retina's rod cells, paving the way for developing an efficient artificial retina network. The proposed device constitutes a hybrid nanocomposite of perovskites (methyl-ammonium lead bromide) and the ferroelectric terpolymer (polyvinylidene fluoride trifluoroethylene-chlorofluoroethylene). A metal-insulator-metal type capacitor with the prepared composite exhibits the unique and photosensitive capacitive behavior at various light intensities in the visible light spectrum. The proposed photoreceptor mimics the spectral sensitivity curve of human photopic vision. The hybrid nanocomposite is stable in ambient air for 129 weeks, with no observable degradation of the composite due to the encapsulation of hybrid perovskites in the hydrophobic polymer. The functionality of the proposed photoreceptor to recognize handwritten digits (MNIST) dataset using an unsupervised trained spiking neural network with 72.05% recognition accuracy is demonstrated. This demonstration proves the potential of the proposed sensor for neuromorphic vision applications.
dc.publisherSpringer Science and Business Media LLC
dc.relation.urlhttps://www.nature.com/articles/s41377-021-00686-4
dc.relation.urlhttps://www.nature.com/articles/s41377-021-00686-4.pdf
dc.rightsOpen Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleA flexible capacitive photoreceptor for the biomimetic retina.
dc.typeArticle
dc.contributor.departmentElectrical and Computer Engineering Program
dc.contributor.departmentComputer, Electrical and Mathematical Science and Engineering (CEMSE) Division
dc.contributor.departmentKAUST Solar Center (KSC)
dc.identifier.journalLight: Science & Applications
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionDepartment of Electrical Engineering and Computer Science, University of California-Irvine, Irvine, CA, 92612, USA
dc.contributor.institutionDepartment of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA
dc.contributor.institutionDepartment of Materials Science and Engineering, City University of Hong Kong, Hong Kong SAR, China
dc.identifier.volume11
dc.identifier.issue1
kaust.personVijjapu, Mani Teja
kaust.personFouda, Mohammed Elneanaei
kaust.personAgambayev, Agamyrat
kaust.personKang, Chun Hong
kaust.personLin, Chun-Ho
kaust.personOoi, Boon S.
kaust.personHe, Jr-Hau
kaust.personEltawil, Ahmed Mohamed
kaust.personSalama, Khaled N.
refterms.dateFOA2022-01-05T07:25:40Z


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Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction
in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if
changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If
material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain
permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Except where otherwise noted, this item's license is described as Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.