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Article: Synaptic solar-blind UV PD based on STO/AlXGa1−XN heterostructure for neuromorphic computing

TitleSynaptic solar-blind UV PD based on STO/AlXGa1−XN heterostructure for neuromorphic computing
Authors
Issue Date7-Apr-2025
PublisherAmerican Institute of Physics
Citation
Applied Physics Letters, 2025, v. 126, n. 14, p. 1-8 How to Cite?
AbstractThe rapid advancements in artificial intelligence and high-performance computing have emphasized the need for efficient optoelectronic artificial synapses, essential elements in neuromorphic computing. This study proposes a solar-blind ultraviolet (UV) photodetector (PD) based on the SrTiO3/AlXGa1−XN heterostructure to serve as an optoelectronic synapse. Under 265 nm illumination, the device demonstrates a remarkably low dark current of 1.08 × 10−11 A and an impressive peak responsivity of 36.43 A/W at −15 V. Notably, the UV PD functions as an optoelectronic synapse that emulates a biological neuron, simulating the fundamental operations of various biological synapses. Moreover, the research extends to the promising field of neuromorphic computing. The photoelectric artificial synapse device achieved an exceptional 97.91% accuracy rate in the challenging MNIST handwritten digit recognition task, further validating its potential in neural computing applications.
Persistent Identifierhttp://hdl.handle.net/10722/355837
ISSN
2023 Impact Factor: 3.5
2023 SCImago Journal Rankings: 0.976
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorQi, X.-
dc.contributor.authorDai, S.-
dc.contributor.authorChu, C.-
dc.contributor.authorYu, S.-
dc.contributor.authorWang, X.-
dc.contributor.authorYang, S.-
dc.contributor.authorLing, F.C.C.-
dc.contributor.authorYang G.-
dc.date.accessioned2025-05-17T00:35:24Z-
dc.date.available2025-05-17T00:35:24Z-
dc.date.issued2025-04-07-
dc.identifier.citationApplied Physics Letters, 2025, v. 126, n. 14, p. 1-8-
dc.identifier.issn0003-6951-
dc.identifier.urihttp://hdl.handle.net/10722/355837-
dc.description.abstractThe rapid advancements in artificial intelligence and high-performance computing have emphasized the need for efficient optoelectronic artificial synapses, essential elements in neuromorphic computing. This study proposes a solar-blind ultraviolet (UV) photodetector (PD) based on the SrTiO3/AlXGa1−XN heterostructure to serve as an optoelectronic synapse. Under 265 nm illumination, the device demonstrates a remarkably low dark current of 1.08 × 10−11 A and an impressive peak responsivity of 36.43 A/W at −15 V. Notably, the UV PD functions as an optoelectronic synapse that emulates a biological neuron, simulating the fundamental operations of various biological synapses. Moreover, the research extends to the promising field of neuromorphic computing. The photoelectric artificial synapse device achieved an exceptional 97.91% accuracy rate in the challenging MNIST handwritten digit recognition task, further validating its potential in neural computing applications.-
dc.languageeng-
dc.publisherAmerican Institute of Physics-
dc.relation.ispartofApplied Physics Letters-
dc.titleSynaptic solar-blind UV PD based on STO/AlXGa1−XN heterostructure for neuromorphic computing-
dc.typeArticle-
dc.identifier.doi10.1063/5.0263338-
dc.identifier.scopuseid_2-s2.0-105002275865-
dc.identifier.volume126-
dc.identifier.issue14-
dc.identifier.spage1-
dc.identifier.epage8-
dc.identifier.eissn1077-3118-
dc.identifier.isiWOS:001461244000013-
dc.identifier.issnl0003-6951-

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