Bio‐Inspired 3D Artificial Neuromorphic Circuits

Liu, Xuhai; Wang, Fengyun; Su, Jie; Zhou, Ye; Ramakrishna, Seeram

doi:10.1002/adfm.202113050

Cited by 57 publications

(46 citation statements)

References 277 publications

(377 reference statements)

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“…[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.…”

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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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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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“…Along with the high-efficient convolution and spike network integrated with these chips, the low-energy consumption optical chip realizes a series of in-computing function containing the learning, recognition, and classification. [248][249][250][251] Also in machine vision, the retina like photodetector are developed with visual adaption, [234] convolutional processing [232] and spike encoding processing functions. [252] All these recent advances of 2D based photodetectors (Figure 14) provide the reference for future guidance of 2D inorganic/organic photodetectors.…”

Section: Future Developmentmentioning

confidence: 99%

Recent Progress in 2D Inorganic/Organic Charge Transfer Heterojunction Photodetectors

Han

Wang

Han

et al. 2022

Adv Funct Materials

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2D materials possess superior optoelectronic properties, such as ultrahigh mobility and broadband photoresponse, making them one of the most vital platforms for diversified photodetectors. However, atomic thickness 2D materials usually suffer from intrinsic low absorption. To promote the photo detector performance, a feasible method is to integrate the 2D materials with lowcost, flexible, and tunable organics that form a charge transfer (CT) heterojunction. As results, indepth multifunctional CT 2Dinorganic/organic detector exhibits extended functions such as lowpower consumption, in memory detection, and opticalbio synapse to meet the demand of contem porary photonic cell. Particularly, the progresses in waferscale monocrystal of both 2D and organic materials render vast potential applications with operation frequencies ranging from ultraviolet to terahertz. Here, the recent advances of 2Dinorganic/organic CT photodetectors are comprehensively reviewed by several classifications. Future developments and applications in optical biology, synapsis, and machine vision are also highlighted.

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“…Recently, the non-volatile memories based on 2D materials, for instance, organic ferroelectric memory diodes, floating gate memory, and resistive switching memory, promote the rapid development of the digital world. 162,[212][213][214][215][216][217][218] The main drawbacks of BP are its poor stability in air and poor solubility in most organic solvents. A classical solution to the problem is to introduce BP into the polymer main chain or polymer matrix to form new functional materials, which presents both challenges and opportunities for the innovation of memory.…”

Section: Bp-based Nanohybrids For Electronic and Optoelectronic Devicesmentioning

confidence: 99%

Black phosphorus-based nanohybrids for energy storage, catalysis, sensors, electronic/photonic devices, and tribological applications

Fan

Cao

et al. 2022

J. Mater. Chem. C

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Bio‐Inspired 3D Artificial Neuromorphic Circuits

Cited by 57 publications

References 277 publications

Vertical Organic Ferroelectric Synaptic Transistor for Temporal Information Processing

Vertical Organic Ferroelectric Synaptic Transistor for Temporal Information Processing

Recent Progress in 2D Inorganic/Organic Charge Transfer Heterojunction Photodetectors

Black phosphorus-based nanohybrids for energy storage, catalysis, sensors, electronic/photonic devices, and tribological applications

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