Bionic artificial synaptic floating gate transistor based on MXene

Cao, Yixin; Zhao, Ce Zhou; Liu, Z.J.; Chen, X.P.; Mitrović, Ivona Z.; Liu, Y.N.; Yang, Li; Zalinge, Harm van

doi:10.1016/j.sse.2022.108257

Cited by 7 publications

(18 citation statements)

References 43 publications

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“…[63][64][65][66] When the f is lifted to 6.36 Hz, the response attains a level of 71.5 pA and the gain (spike-frequency-dependent plasticity, SFDP; A10/A1 × 100%) reaches 156% (Figure 2b; A: −1 V, D: 0.18 s, interval time: 0.18-1.8 s). This response was exploited to construct a dynamic filter, [67][68][69][70] which sharpened the contours of the leaves in an image (Figure 2c). At N = 30, the response was 78.1 pA and enabled an image-refresh function (Figure 2d).…”

Section: Resultsmentioning

confidence: 99%

Flexible Electro‐Optical Perovskite/Electrolyte Synaptic Transistor to Emulate Photoelectric‐Synergistic Neural Learning Rules and Reflex‐Arc Behavior

Wei

et al. 2023

Adv Funct Materials

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The design and fabrication of a flexible electric‐optical perovskite/electrolyte synaptic transistor are demonstrated for the first time, which emulates important neuromorphic functions under dual‐mode modulation. Benefiting from the bipolar charge transport properties of light‐harvesting perovskite and the high specific capacitance and mechanically robust multi‐ion electrolyte, the device exhibits bidirectional plasticity, better reliability, retaining >70% of the initial current level after 2500 flex per flat laps, and a very wide operating voltage window from 0.04 to 10 V, and responsive to ultralow stimuli down to tens of millivolt level with femtojoule‐level energy consumption. The synergistic high response under dual‐mode modulation enables the device to emulate complex neural learning rules and achieve neuromorphic applications, including classical conditioning and spatiotemporal learning, and image recognition tasks with higher accuracy of 81%. Moreover, an enhanced artificial reflex‐arc behavior is emulated by employing the flexible electro‐optical artificial synapses that serve as key information‐receiving‐processing units to manipulate the actions of electrochemical artificial muscles to a larger extent. These properties show great potential in soft neurorobotic systems and prostheses.

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Section: Resultsmentioning

confidence: 99%

Flexible Electro‐Optical Perovskite/Electrolyte Synaptic Transistor to Emulate Photoelectric‐Synergistic Neural Learning Rules and Reflex‐Arc Behavior

Wei

et al. 2023

Adv Funct Materials

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“…166 These materials are represented by the general formula: M n+1 X n T x (M = early transition metals, X = C/N, T = surface terminations like -F, -Cl, -O, and -OH and n = 1 to 4). 73,167,168 The properties of MXenes can be altered by choosing different transition metals and changing the X elements and the surface functional groups. MXenes have a beautiful blend of electrical and optical properties, which make them key components in optoelectronic synapses.…”

Section: Advantages Of 2d Materials For Optoelectronic Synaptic Devicesmentioning

confidence: 99%

“…Reproduced with permission from Copyright 2021 American Chemical Society, 57 Copyright 2019 Royal Society of Chemistry, 66 Copyright 2015 Royal Society of Chemistry, 67 Copyright 2018 Nature Publishing Group, 68 Copyright 2018 Wiley-VCH, 69 Copyright 2021 Elsevier, 70 Copyright 2019 Wiley-VCH, 71 Copyright 2021 Wiley-VCH, 72 and Copyright 2022 Elsevier. 73 excitations like electrical, optical, thermal, and magnetic. 61 These materials undergo a phase transition from the insulator to metallic state and return to their initial insulating state under voltage bias, with the potential for mimicking the biological synaptic functionalities.…”

Section: Introductionmentioning

confidence: 99%

Recent developments in the state-of-the-art optoelectronic synaptic devices based on 2D materials: a review

Jana,

Ghosh,

Bhunia

et al. 2024

J. Mater. Chem. C

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“…The WS 2 has the smallest piezoelectric effect, and moving downward in group 6 (transition metals) or group 16 (chalcogenides) enhances the magnitude of the effect until MoTe 2 , with the largest coefficient, is reached. The 2D materials can withstand huge strains with high crystallinity, which are the research hotspots of high-performance piezoelectric materials [51][52][53]. Wu et al first proposed the piezoelectric performance of a single-layer MoS 2 -based device coupled with an external load resistor (figure 3(d)-(i)) [54].…”

Section: Unique 2d Materials For Tribotronic Fetsmentioning

confidence: 99%

2D tribotronic transistors

Huo

et al. 2022

J. Phys. Energy

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Since the discovery of graphene, 2D materials have been widely applied to field-effect transistors (FETs) due to their great potential in optoelectronics, photodetectors, intelligent sensors, and neuromorphic devices. By integrating 2D transistor with triboelectric nanogenerator (TENG) into tribotronic transistor, the induced triboelectric potential can readily regulate the charge carrier transport characteristics in semiconductor channel. The emerging research field of tribotronics (mainly tribotronic transistors) has gained extensive attentions due to their significant applications on various sensation and human-machine interaction. Here, this review summarizes the recent development of 2D tribotronic transistors. Firstly, the electrical, optoelectronic, and piezoelectric properties of typical 2D materials are introduced. Then, the tribotronic tuning at the micro/nano-scale is raised with the methodologies of thermionic emission, triboelectricity tunneling, and atomic force microscope (AFM) probe scanning, which is of great significance to investigate the underlying mechanism of tribotronic effect. In addition, the macro-scale tribotronic regulation via TENG mechanical displacement are also discussed in detail to explore the applications of 2D tribotronic transistors in intelligent sensors, logic devices, memory devices, and artificial synapses. Finally, the challenges and perspectives for 2D tribotronic transistor are discussed.

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Bionic artificial synaptic floating gate transistor based on MXene

Cited by 7 publications

References 43 publications

Flexible Electro‐Optical Perovskite/Electrolyte Synaptic Transistor to Emulate Photoelectric‐Synergistic Neural Learning Rules and Reflex‐Arc Behavior

Flexible Electro‐Optical Perovskite/Electrolyte Synaptic Transistor to Emulate Photoelectric‐Synergistic Neural Learning Rules and Reflex‐Arc Behavior

Recent developments in the state-of-the-art optoelectronic synaptic devices based on 2D materials: a review

2D tribotronic transistors

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