Printable, ultralow-power ternary synaptic transistors for multifunctional information processing system

Shi, Qianqian; Liu, Dapeng; Hao, Dandan; Zhang, Junyao; Li, Tian; Xiong, Lize; Huang, Jia

doi:10.1016/j.nanoen.2021.106197

Cited by 54 publications

(43 citation statements)

References 41 publications

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“…[254] Recently, the ultralow power consumption (≈0.11 fJ per spike) of synaptic transistors with multifunction was fabricated by combining C8-BTBT/PS with CsPbBr 3 quantum dots (Figure 13f). [256] The synaptic behaviors including short-term plasticity and long-term plasticity were mimicked for devices on flexible and Si/SiO 2 substrate by tuning the input optical signal. [247] Copyright 2019, American Chemical Society.…”

Section: Synaptic and Memory Devicesmentioning

confidence: 99%

See 1 more Smart Citation

Structures, Properties, and Device Applications for [1]Benzothieno[3,2‐b]Benzothiophene Derivatives

Xie

Liu

Sun

et al. 2022

Adv Funct Materials

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1]benzothieno[3,2-b]benzothiophene (BTBT), with two benzene rings as the outermost rings, is referred to as diacene-fused ladder-type π-conjugated thienothiophenes. During the last three decades, derivatives based on BTBT core have been extensively studied due to their tremendous application prospects in organic field-effect transistors (OFETs) and organic optoelectronic devices. In order to further advance the development of organic electronics, new materials are constantly being synthesized and new methods are constantly evolving. This review mainly focuses on the crystal and electronic structures of BTBT derivatives, the soluble and thermal properties, the fabrication methods, as well as the strategies for performance improvement and optoelectronic applications including OFETs, photodetectors, synaptic devices, and organic light-emitting transistors. As one of the most promising organic materials, the insight into BTBT-based molecules will accelerate their potential application and provide important reference value for the development toward commercialized and industrialized organic semiconducting products.

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Section: Synaptic and Memory Devicesmentioning

confidence: 99%

mentioning

confidence: 99%

Structures, Properties, and Device Applications for [1]Benzothieno[3,2‐b]Benzothiophene Derivatives

Xie

Liu

Sun

et al. 2022

Adv Funct Materials

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“…[85][86][87][88] For example, a new type of synaptic transistor combining an organic semiconductor (OSC) polymer and an inorganic perovskite quantum dot (IPQD) photosensitive layer has been reported (Figure 8d). [89] The semiconductor C8-BTBT and CsPbBr 3 quantum dots (CPB QDs) served as the conducting channel and photosensitive layer, respectively. Additionally, polystyrene (PS) was used as a blocking and buffering material to prevent the transmission of the photogenerated carriers.…”

Section: Flexible Synaptic Devices Based On Optoelectronic Synaptic T...mentioning

confidence: 99%

mentioning

confidence: 99%

Flexible Artificial Synapses Based on Field Effect Transistors: From Materials, Mechanics towards Applications

Liu

Zhang

et al. 2022

Advanced Intelligent Systems

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Von Neumann-based computation, which is the basis for solving complex and well-structured problems, plays an essential role in commercial computing units such as microcontrollers, microprocessors, and field-programmable gate arrays (FPGAs). However, the efficiency of von Neumann computers inevitably decreases when processing a large amount of data owing to the separate storage and processing units. Additionally, the energy consumption of these computers is high when data are switched frequently between the microprocessor and memory. [1][2][3] An efficient biological computing system, the human brain is capable of handling various complex tasks and consumes energy only on the order of several fJ/spike. Therefore, brain-inspired flexible artificial synapses are widely used in prosthetics, neurorobotics, and health monitoring. [4,5] The synapse is composed of a presynaptic membrane, synaptic cleft, and postsynaptic membrane. The cell membrane potential of the postsynaptic membrane changes in accordance with the action transmitted to the axon terminal of the presynaptic neuronal membrane. Since "neuromorphic electronic systems" were first proposed by Carver Mead in 1990, several synaptic devices based on two-terminal and three-terminal structures have been successfully fabricated to mimic the information processing function of the human brain. [6] Although two-terminal devices, such as memristors and phase-change memories, have low power consumption and simple device structures, [7][8][9] threeterminal transistors are more suitable for synaptic devices because of the advantages of parallel processing and memory functions. Furthermore, they comprise several gates to obtain signals from many sources compared with two-terminal devices. As a typical three-terminal element, the structure of field-effect transistors (FETs) is extremely similar to that of biological synapses (Figure 1a). [10] The gate voltage, V GS, serves as the presynaptic input terminal while the source-drain channel current I SD is used as the post-synaptic output terminal. The transmission of neurotransmitters from the pre-synapse to the post-synapse corresponds to carrier transportation. Synaptic devices with different device configurations have been employed in implementing synaptic functions by controlling the carrier transport (Figure 1b), such as floating-gate transistors, electrolyte-gate transistors, ferroelectric-gate transistors, and optoelectronic transistors. Thus, a clear understanding of the carrier transport mechanisms is the basis for designing artificial synapses with multiple functions.Communication between neurons is facilitated by changing the connection strength of the neurons, which is referred to as synaptic weight. [11] The basic characteristics of synaptic devices include excitatory postsynaptic currents (EPSC) and inhibitory postsynaptic currents (IPSC). These characteristics rely on the signals generated under external activation. [12] Synaptic plasticity is grouped into short-term plasticity (STP) and long-term

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“…[23][24][25] These p-type organic synaptic devices have imitated synaptic behaviors in response to electrical and optical signals, meanwhile, because of the reliable nonvolatility and durability of conductance modulation, the p-type organic synaptic devices show the great potential in building ANN and neuromorphological systems. [22][23][24][25][26][27][28][29][30][31] However, the application progress of n-type organic materials lags behind that of p-type organic materials attributed to the ambient instability in the electron-transporting. This vulnerability in air stems from the organic π-radical anions to react with atmospheric water and/or oxygen.…”

Section: Introductionmentioning

confidence: 99%

All‐Solid‐State Vertical Three‐Terminal N‐Type Organic Synaptic Devices for Neuromorphic Computing

Xie

Zhuge

Zhao

et al. 2022

Adv Funct Materials

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Artificial synaptic devices are the basic composition units for neuromorphic computing processors that realize massive parallel computing. However, the n-type organic transistors have failed to achieve good performance as an artificial synaptic device for neuromorphic computing until now. Here, a vertical three-terminal n-type organic artificial synapse (TNOAS) using a lithium ion-based organic dielectric and the n-type donor-acceptor (D-A) conjugated polymer-naphthalene-1,4,5,8-tetracarboxylic-diimide-thiophene-vinyl-thiophene (NDI-gTVT) as the channel is proposed. The TNOAS achieves nonvolatile conductance modulation with high current density operation (≈10 KA cm −2 ) at low voltage and mimics the basic functions of biological synapses, such as long-term synaptic plasticity and paired-pulse facilitation. The minimum energy consumption of a response event triggered by a single action potential is 6.16 pJ, which can be comparable with p-type counterparts. Moreover, simulation using handwritten digital datasets exhibit a high recognition accuracy of 94%.

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Printable, ultralow-power ternary synaptic transistors for multifunctional information processing system

Cited by 54 publications

References 41 publications

Structures, Properties, and Device Applications for [1]Benzothieno[3,2‐b]Benzothiophene Derivatives

Structures, Properties, and Device Applications for [1]Benzothieno[3,2‐b]Benzothiophene Derivatives

Flexible Artificial Synapses Based on Field Effect Transistors: From Materials, Mechanics towards Applications

All‐Solid‐State Vertical Three‐Terminal N‐Type Organic Synaptic Devices for Neuromorphic Computing

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