Synaptic Behavior in an Optoelectronic Device Based on Semiconductor‐Nanotube Hybrid

Pilarczyk, Kacper; Podborska, Agnieszka; Maria, Lis; Kawa, M.; Migdal, Dominika; Szaciłowski, Konrad

doi:10.1002/aelm.201500471

Cited by 46 publications

(52 citation statements)

References 30 publications

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“…[61] UV-vis 0.6 -√ --Au/In 2 O 3 /ZnO/FTO [14] UV 0.4-4 √ √ --W/MoS 2 /SiO 2 /p-Si [62] UV 0.11 √ √ --Au/TiO 2 /Au [63] Violet 0.5 -√ --ITO/MWCNTs/CdS [64] Blue --√ --Pt/HfO 2 /p-Si [65] Blue 0.01-5 -√ --ITO/Si-NC/Al [12] UV-NIR 18 √ √ --ITO/ZnO/Si-NCs/CBP/MoO 3 /Au [66] UV -√ √ --Al/ZnO/PDR1A/ITO [67] Green 180 -√ --ITO/ZnO 1−x /AlO y /Al [ [61] UV-vis 0.6 -√ --Au/In 2 O 3 /ZnO/FTO [14] UV 0.4-4 √ √ --W/MoS 2 /SiO 2 /p-Si [62] UV 0.11 √ √ --Au/TiO 2 /Au [63] Violet 0.5 -√ --ITO/MWCNTs/CdS [64] Blue --√ --Pt/HfO 2 /p-Si [65] Blue 0.01-5 -√ --ITO/Si-NC/Al [12] UV-NIR 18 √ √ --ITO/ZnO/Si-NCs/CBP/MoO 3 /Au [66] UV -√ √ --Al/ZnO/PDR1A/ITO [67] Green 180 -√ --ITO/ZnO 1−x /AlO y /Al [ …”

Section: Supporting Informationunclassified

An Artificial Optoelectronic Synapse Based on a Photoelectric Memcapacitor

Zhao

Fan

Cheng

et al. 2019

Adv Elect Materials

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away quickly when the light stimuli are removed. [3][4][5] In other words, traditional photodetectors can detect the images like a retina, but they lack the memory function owned by the visual cortex (see schematic illustration of human visual system in Figure 1a). To realize both detection and memory functions so as to better imitate the human visual system, researchers have attempted to integrate the photodetectors with the nonvolatile memory devices. [6][7][8][9] For example, a bioinspired visual system comprising an In 2 O 3 nanowire photodetector connected in series with an Al 2 O 3 memristor was fabricated recently, which could capture a butterflyshaped image and store it for more than 1 week. [9] In such integrated devices, however, the units responsible for detection, processing, and storage of optical information are physically separated, resulting in high power consumption for data transfer between different units (just as the Von Neumann bottleneck [10,11] ).A simple yet effective humanoid optoelectronic device emerging recently is the artificial optoelectronic synapse based on the photoelectric memristor, which can co-locate the detection and memory functions in a single unit. As the name suggests, a photoelectric memristor can continuously change its resistance upon light stimuli, resembling the physiological The rapid development of artificial intelligence technology has led to the urge for artificial optoelectronic synapses with visual perception and memory capabilities. A new type of artificial optoelectronic synapse, namely a photo electric memcapacitor, is proposed and demonstrated. This photoelectric memcapacitor, with a planar Au/La 1.875 Sr 0.125 NiO 4 /Au metal-semiconductormetal structure, displays a complementary optical and electrical modulation of capacitance, which can be attributed to the charge trapping/detrapping induced Schottky barrier variation. It further exhibits versatile synaptic functions, such as photonic potentiation/electric depression, pairedpulse facilitation, short/longterm memory, and "learningexperience" behavior. Moreover, the photoplasticity of the memcapacitor can be modulated by varying the frequency of applied AC voltage, thus enabling selfadaptive optical signal detection and mimicry of interestmodulated human visual memory. Therefore, it represents a new paradigm for artificial optoelectronic synapses and opens up opportunities for developing lowpower humanoid optoelectronic devices.

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Section: Supporting Informationunclassified

An Artificial Optoelectronic Synapse Based on a Photoelectric Memcapacitor

Zhao

Fan

Cheng

et al. 2019

Adv Elect Materials

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“…lead), and vanadates (e.g. bismuth), modified with various chromophores and carbon nanostructures . The electrodes made of these nanocomposites were not only capable of processing electrical signals but also chunks of information encoded in the pulses of light of the appropriate wavelength.…”

Section: Introductionmentioning

confidence: 99%

“…bismuth), [12] modified with variousc hromophores and carbon nanostructures. [13] The electrodes made of these nanocomposites were not only capable of processing electricals ignals but also chunks of information encoded in the pulseso fl ight of the appropriate wavelength. Several papers have been published in which both simple binaryl ogic gates andm ore complex circuits were presented.…”

Section: Introductionmentioning

confidence: 99%

Organotitania‐Based Nanostructures as a Suitable Platform for the Implementation of Binary, Ternary, and Fuzzy Logic Systems

et al. 2017

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Titanium dioxide nanocomposites were synthesized in hierarchical architectures through the use of a 1,4‐dihydroxyanthraquinone photosensitizer. In the first step, the dye was either incorporated into the TiO2 core or adsorbed on its surface. In the subsequent phase, both structures were covered with an outer layer of titanium dioxide. The structure, morphology, aggregation, spectroscopic, and electrochemical properties of the synthesized TiO2‐based materials are presented with emphasis on the photosensitization and the photocurrent switching phenomena, which are also discussed within the context of the optical logic gates implementation and fuzzy logic systems operation. We present three different interpretations of the photocurrent action spectra yielding binary, ternary, or fuzzy logic circuits.

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“…Synaptic functions have also been realized in two‐terminal photoelectric devices based on the cadmium sulfide (CdS)/multiwalled carbon nanotubes (MWCNTs) hybrid material, single crystal silicon, InGaN/GaN, silicon nanocrystals, and indium‐tin oxide/Nb‐doped SrTiO 3 …”

Section: Photoelectric Synapsesmentioning

confidence: 99%

“…Figure 5h shows the symmetric STDP behavior mimicked in IZO/IGZO/IZO photoelectric devices. Figure 5i,j shows the variation of PSC when the Δt are þ0.5 and þ0.1 s. Synaptic functions have also been realized in two-terminal photoelectric devices based on the cadmium sulfide (CdS)/multiwalled carbon nanotubes (MWCNTs) hybrid material, [93] single crystal silicon, [94] InGaN/GaN, [95][96][97][98][99] silicon nanocrystals, [100,101] and indium-tin oxide/Nb-doped SrTiO 3 . [102] Two-terminal photoelectric synapses possess a simple device structure.…”

Section: Normal Photoelectric Devicesmentioning

confidence: 99%

Photonic Synapses for Ultrahigh‐Speed Neuromorphic Computing

Zhuge

Wang

Zhuge

2019

Physica Rapid Research Ltrs

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Neuromorphic computing based on a non‐von Neumann architecture is a promising way for the efficient implementation of artificial intelligence. A neuromorphic computing system is mainly composed of artificial synapses and neurons. Various electronic neuromorphic devices have been developed by different technologies. Neuromorphic photonics combines the efficiency of neural networks and the speed of photonics to build computing systems. Compared with their electronic counterparts, photonic neurons and synapses have the potential advantages of ultrafast operation speed, large bandwidth, and no electrical interconnect power loss, inherent to the computing by optical means. Therefore, photonic neuromorphic devices are attracting more and more attention. This work reviews the recent advances in the development of photonic synapses. Both purely photonic synapses and photoelectric synapses are described. Their structures and working mechanisms are discussed in detail.

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Synaptic Behavior in an Optoelectronic Device Based on Semiconductor‐Nanotube Hybrid

Cited by 46 publications

References 30 publications

An Artificial Optoelectronic Synapse Based on a Photoelectric Memcapacitor

An Artificial Optoelectronic Synapse Based on a Photoelectric Memcapacitor

Organotitania‐Based Nanostructures as a Suitable Platform for the Implementation of Binary, Ternary, and Fuzzy Logic Systems

Photonic Synapses for Ultrahigh‐Speed Neuromorphic Computing

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