Stretchable vertical organic transistors and their applications in neurologically systems

Wang, Xiumei; Li, Enlong; Liu, Yaqian; Lan, Shuqiong; Yang, Huihuang; Yan, Yujie; Shan, Liuting; Lin, Zhixian; Chen, Huipeng; Guo, Tailiang

doi:10.1016/j.nanoen.2021.106497

Cited by 36 publications

(43 citation statements)

References 75 publications

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“…[6][7][8][9][10][11] At present, the transistor synapse device has attracted much attention due to its three-terminal structure with greater modulation flexibility. [12][13][14][15][16][17][18] In transistor synapse device, modulated physical quantities (such as conductance, current, etc.) like synaptic weight updating and synaptic devices can be used to implement basic and important presynaptic and postsynaptic information transmission and effectively simulate short-term, long-term memory, frequency dependence, long-term potentiation and long-term depression of biological synapses.…”

mentioning

confidence: 99%

Vertical Organic Ferroelectric Synaptic Transistor for Temporal Information Processing

Sun

Wang

Yuan

et al. 2022

Adv Materials Inter

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in response to its increase or decrease in activity, which is the biological basis of learning and memory activities at the cellular level. [4,5] In order to meet the great demand for intelligent computing, big data, and web of Things development, the researches on artificial synapse neuromorphic electronic devices have aroused great research enthusiasm, considering the high efficiency of artificial synapse devices mimicking the way the human brain processes complex tasks. [6][7][8][9][10][11] At present, the transistor synapse device has attracted much attention due to its three-terminal structure with greater modulation flexibility. [12][13][14][15][16][17][18] In transistor synapse device, modulated physical quantities (such as conductance, current, etc.) like synaptic weight updating and synaptic devices can be used to implement basic and important presynaptic and postsynaptic information transmission and effectively simulate short-term, long-term memory, frequency dependence, long-term potentiation and long-term depression of biological synapses. [19][20][21][22] As a key component of organic electronic devices, organic transistor has a broad development prospect in wearable electronic devices, human electronic skin, scrollable touch display, and other new applications. [23][24][25][26][27][28] Unlike inorganic synapses, organic materials have great advantages in mass manufacturing, large area, mechanical flexibility, and solution processability. [29][30][31][32] These peculiarities, combined with the tunable flexibility of three terminals, make organic neuromorphic transistors stand out in the field of neuromorphic computing. [33][34][35] However, organic synaptic transistors have many inherent drawbacks, for instance, small conductivity changes, low storage performance, asymmetric weight updating, as well as fewer conductivity states. [36,37] In order to overcome these limitations, researchers have carried out research to improve the performance of organic synaptic devices in the aspects of materials, interface engineering and blend composite. [38][39][40] The vertical organic transistor (VOT) changes the conductive channel from the traditional horizontal to vertical, and the channel layer thickness is the channel length of the device, which effectively overcomes the performance limitation of traditional horizontal channel structure. Compared to traditional transistors, VOTs benefit from extremely short channels, providing a platform for fast switching speeds and ultra-high output current density. [41,42] In addition, the planar charge transfer in traditional transistors is affected by the morphology of the semiconductor/insulator interface, while for VOTs, because the channel between source Neuromorphic technology is the next stage in the evolution of high-performance computing, with its ability to dramatically improve data processing and learning. Hence, the exploration of synaptic electronic devices with multiple excitation modes is the main area of concern. In this work, a vertical organic ferroelectri...

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confidence: 99%

Vertical Organic Ferroelectric Synaptic Transistor for Temporal Information Processing

Sun

Wang

Yuan

et al. 2022

Adv Materials Inter

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“…By counting the spikes for certain groups, 26 letters and 10 numbers can be identified (Figure 5D and Supporting Information: Figure ). Compared with other reported Morse‐coding systems that use neural devices, our system exhibits weaker recognition noise and higher reliability, due to a stable and well‐defined STP (Supporting Information: Table ) 44–47 . As a demonstration, the name of our device “OENT” was recognized correctly using a real circuit (Figure 5E).…”

Section: Resultsmentioning

confidence: 80%

“…Compared with other reported Morse-coding systems that use neural devices, our system exhibits weaker recognition noise and higher reliability, due to a stable and well-defined STP (Supporting Information: Table S2). [44][45][46][47] As a demonstration, the name of our device "OENT" was recognized correctly using a real circuit (Figure 5E).…”

Section: Instant Electrical Processing Of the Oent Devicementioning

confidence: 89%

Flexible optoelectronic neural transistors with broadband spectrum sensing and instant electrical processing for multimodal neuromorphic computing

Feng

et al. 2022

SmartMat

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Section: Artificial Perception System Based On Neuromorphic Transistorsmentioning

confidence: 99%

Recent advances in neuromorphic transistors for artificial perception applications

Wang

Zhu

2022

Science and Technology of Advanced Materials

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Conventional von Neumann architecture is insufficient in establishing artificial intelligence (AI) in terms of energy efficiency, computing in memory and dynamic learning. Delightedly, rapid developments in neuromorphic computing provide a new paradigm to solve this dilemma. Furthermore, neuromorphic devices that can realize synaptic plasticity and neuromorphic function have extraordinary significance for neuromorphic system. A three-terminal neuromorphic transistor is one of the typical representatives. In addition, human body has five senses, including vision, touch, auditory sense, olfactory sense and gustatory sense, providing abundant information for brain. Inspired by the human perception system, developments in artificial perception system will give new vitality to intelligent robots. This review discusses the operation mechanism, function and application of neuromorphic transistors. The latest progresses in artificial perception systems based on neuromorphic transistors are provided. Finally, the opportunities and challenges of artificial perception systems are summarized.

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Stretchable vertical organic transistors and their applications in neurologically systems

Cited by 36 publications

References 75 publications

Vertical Organic Ferroelectric Synaptic Transistor for Temporal Information Processing

Vertical Organic Ferroelectric Synaptic Transistor for Temporal Information Processing

Flexible optoelectronic neural transistors with broadband spectrum sensing and instant electrical processing for multimodal neuromorphic computing

Recent advances in neuromorphic transistors for artificial perception applications

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