Molecular template growth of organic heterojunctions to tailor visual neuroplasticity for high performance phototransistors with ultralow energy consumption

Ercan, Ender; Hung, Chih‐Chien; Li, Guan‐Syuan; Yang, Yun‐Fang; Lin, Yan‐Cheng; Chen, Wen‐Chang

doi:10.1039/d2nh00597b

Cited by 7 publications

(3 citation statements)

References 42 publications

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“…3a, b). In contrast to previously reported flexible synaptic phototransistors based on organic semiconductors [51][52][53][54][55][56][57][58][59][60][61][62][63][64][65][66][67][68][69][70] , our ISNVaTs simultaneously achieved an ultra-low energy consumption and a record high PPF index (Fig. 3c, Supplementary Fig.…”

Section: Simulation Of Photonic Synapses For Isnvatscontrasting

confidence: 64%

Strain-insensitive viscoelastic perovskite film for intrinsically stretchable neuromorphic vision-adaptive transistors

Wang,

Bian,

Liu

et al. 2024

Nat Commun

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Stretchable neuromorphic optoelectronics present tantalizing opportunities for intelligent vision applications that necessitate high spatial resolution and multimodal interaction. Existing neuromorphic devices are either stretchable but not reconcilable with multifunctionality, or discrete but with low-end neurological function and limited flexibility. Herein, we propose a defect-tunable viscoelastic perovskite film that is assembled into strain-insensitive quasi-continuous microsphere morphologies for intrinsically stretchable neuromorphic vision-adaptive transistors. The resulting device achieves trichromatic photoadaptation and a rapid adaptive speed (<150 s) beyond human eyes (3 ~ 30 min) even under 100% mechanical strain. When acted as an artificial synapse, the device can operate at an ultra-low energy consumption (15 aJ) (far below the human brain of 1 ~ 10 fJ) with a high paired-pulse facilitation index of 270% (one of the best figures of merit in stretchable synaptic phototransistors). Furthermore, adaptive optical imaging is achieved by the strain-insensitive perovskite films, accelerating the implementation of next-generation neuromorphic vision systems.

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Section: Simulation Of Photonic Synapses For Isnvatscontrasting

confidence: 64%

Strain-insensitive viscoelastic perovskite film for intrinsically stretchable neuromorphic vision-adaptive transistors

Wang,

Bian,

Liu

et al. 2024

Nat Commun

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“…Unlike conventional optical detectors, which convert broadband optical stimuli into electrical signals and thus require the integration of sensory components into transistors to fully perform biological neuromorphic functions in response to visual stimuli, optoelectronic synapses composed of lightsensitive semiconductor composites are superior as a single component element of sensory technology, offering a facile architecture without additional sensory units and with high device density under ultralow energy consumption. 10 To date, a variety of photoactive materials have been explored, including inorganic and hybrids, 13−15 conjugated molecules, 16,17 natural chromophores, 18,19 or conjugated/ insulating polymers, 20−22 for light harvesting in semiconducting channels or embedded in dielectric to ensure signal transmission of artificial synapses. A wide range of proposed device architecture approaches, including (i) a photogateembedded composite semiconducting channel; 23−25 (ii) a photoactive electret beneath the semiconducting channel; 26,27 and (iii) a photogate-embedded insulating electret beneath the semiconducting channel, 28,29 all of which exploit this phenomenon by altering the conductance level in semiconducting channels through photoexcitation-induced charge transfer.…”

Section: ■ Introductionmentioning

confidence: 99%

“…To date, a variety of photoactive materials have been explored, including inorganic and hybrids, – conjugated molecules, , natural chromophores, , or conjugated/insulating polymers, – for light harvesting in semiconducting channels or embedded in dielectric to ensure signal transmission of artificial synapses. A wide range of proposed device architecture approaches, including (i) a photogate-embedded composite semiconducting channel; – (ii) a photoactive electret beneath the semiconducting channel; , and (iii) a photogate-embedded insulating electret beneath the semiconducting channel, , all of which exploit this phenomenon by altering the conductance level in semiconducting channels through photoexcitation-induced charge transfer.…”

Section: Introductionmentioning

confidence: 99%

Tailoring Wavelength-Adaptive Visual Neuroplasticity Transitions of Synaptic Transistors Comprising Rod-Coil Block Copolymers for Dual-Mode Photoswitchable Learning/Forgetting Neural Functions

Ercan,

Lin,

Yang

et al. 2023

ACS Appl. Mater. Interfaces

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The vision-inspired artificial neural network based on optical synapses has drawn a tremendous amount of attention for emulating biological senses. Although photoexcitation-induced synaptic functionalities have been widely studied, optical habituation via the photoinhibitory pathway is yet to be demonstrated for sophisticated biomimetic visual adaptive systems. Here, the first optical neuromorphic block copolymer (BCP) phototransistor is demonstrated as an all-optical operation responding to various wavelengths, fulfilling photoassisted dynamic learning/forgetting cycles via optical potentiation without gate bias. The polyfluorene BCPs were precisely designed to enable wavelength-adaptive responses, benefiting from interfacial semiconductor/electret morphology and the crystallinity/electron affinity of the BCPs. Notably, this is the first work to simultaneously exhibit fully light-controlled short- and long-term memory based on organic material systems. The device presents a high current contrast above 100-fold and long-term retention over 104 s. As a proof-of-concept for neural networks, a 6 × 6 array of photosynapses performed outstanding visual pattern learning/forgetting with high accuracy. This study exploits the design strategy of a conjugated BCP electret to unleash the full potential of wavelength-adaptive visual neuroplasticity transitions. It provides an effective architecture for designing high-performance and high-storage capacity required applications in next-generation neuromorphic systems.

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Boosting Bidirectional Photoresponse with Wavelength Selectivity through Ambipolar Transport Modulation

Xue,

Gong,

Yan

et al. 2024

Adv Funct Materials

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Negative photoconductive phototransistors, referring to transistors that exhibit a decrease in photocurrent under illumination, have the potential to revolutionize optoelectronic applications involving light, such as optoelectronic logic circuits and visual neural simulation. Currently, achieving negative photoconductivity (NPC) requires complex material design or interface structure construction. However, achieving precise control over NPC behaviors poses a significant challenge. Herein, a simple yet effective strategy is demonstrated for realizing controllable NPC responses in organic phototransistors through ambipolar transport modulation. Due to the controversy between the preferred exciton dissociation/charge separation direction and the gate electric field driven charge drift direction, the main semiconductor channel (n‐ or p‐channel) exhibits NPC behavior under illumination. The validity of this mechanism has been confirmed through intensive studies by varying the component and combination of the p‐n heterostructure. Moreover, devices utilizing ambipolar transport exhibit a wavelength‐selectivity NPC response due to the absorption characteristics of the combined semiconductor materials. Most encouragingly, by incorporating both negative and positve photoconductivity along with wavelength‐selective responses, high‐contrast image sensing, information encryption and decryption, as well as optoelectronic logic circuit design is successfully achieved. This work promotes the design and development of bidirectional optoelectronic devices and offers a new route for developing attractive multifunctional optoelectronic devices.

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Molecular template growth of organic heterojunctions to tailor visual neuroplasticity for high performance phototransistors with ultralow energy consumption

Abstract: The molecular template growth of the heterojunction was studied to tailor neuroplasticity that exhibits a high pair-pulse facilitation index of ~206%, and ultralow energy consumption of 0.54 fJ to mimic human-like optical synapse and memory functions.

Cited by 7 publications

References 42 publications

Strain-insensitive viscoelastic perovskite film for intrinsically stretchable neuromorphic vision-adaptive transistors

Strain-insensitive viscoelastic perovskite film for intrinsically stretchable neuromorphic vision-adaptive transistors

Tailoring Wavelength-Adaptive Visual Neuroplasticity Transitions of Synaptic Transistors Comprising Rod-Coil Block Copolymers for Dual-Mode Photoswitchable Learning/Forgetting Neural Functions

Boosting Bidirectional Photoresponse with Wavelength Selectivity through Ambipolar Transport Modulation

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