Large transport gap modulation in graphene via electric-field-controlled reversible hydrogenation

Li, Shaorui; Zhang, Yingbo; Wang, Yongchao; Cong, Yu; Li, Yaoxin; Duan, Wenhui; Wang, Yayu; Zhang, Jinsong

doi:10.1038/s41928-021-00548-2

Cited by 23 publications

(34 citation statements)

References 54 publications

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“…We also observe a slight decrease in minimum I D (see Supplementary Fig. 2), which may be an indication that a limited hydrogen adsorption on graphene is happening 41 . It is also noted that the leakage current is very high in this case.…”

Section: Resultsmentioning

confidence: 61%

Metaplastic and energy-efficient biocompatible graphene artificial synaptic transistors for enhanced accuracy neuromorphic computing

et al. 2022

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CMOS-based computing systems that employ the von Neumann architecture are relatively limited when it comes to parallel data storage and processing. In contrast, the human brain is a living computational signal processing unit that operates with extreme parallelism and energy efficiency. Although numerous neuromorphic electronic devices have emerged in the last decade, most of them are rigid or contain materials that are toxic to biological systems. In this work, we report on biocompatible bilayer graphene-based artificial synaptic transistors (BLAST) capable of mimicking synaptic behavior. The BLAST devices leverage a dry ion-selective membrane, enabling long-term potentiation, with ~50 aJ/µm2 switching energy efficiency, at least an order of magnitude lower than previous reports on two-dimensional material-based artificial synapses. The devices show unique metaplasticity, a useful feature for generalizable deep neural networks, and we demonstrate that metaplastic BLASTs outperform ideal linear synapses in classic image classification tasks. With switching energy well below the 1 fJ energy estimated per biological synapse, the proposed devices are powerful candidates for bio-interfaced online learning, bridging the gap between artificial and biological neural networks.

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Section: Resultsmentioning

confidence: 61%

Metaplastic and energy-efficient biocompatible graphene artificial synaptic transistors for enhanced accuracy neuromorphic computing

et al. 2022

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“…Regarding future applications, graphene FETs should respond quickly to variations in gate voltage ( V G ). However, in our previous study, the response time is only in the range of submicroseconds, which is an important problem for the future application of graphene-based devices.…”

Section: Introductionmentioning

confidence: 94%

“…Recently, we demonstrated an electric-field controlled in situ conductor-to-insulator transition in microscale monolayer graphene FETs via reversible electrochemical hydrogenation in an organic H + ion liquid electrolyte . The resistance of fully hydrogenated graphene is larger than 200 GΩ sq –1 , and the on/off current ratio is more than 10 8 at room temperature.…”

Section: Introductionmentioning

confidence: 99%

Tafel-Kinetics-Controlled High-Speed Switching in a Electrochemical Graphene Field-Effect Transistor

Cong

Wang

et al. 2022

ACS Appl. Mater. Interfaces

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Graphene field-effect transistors (FETs) have attracted tremendous attention owing to the single-atomic-layer thickness and high electron mobility for potential applications in next-generation electronics. With regards to switching methodology, the electric-field-induced metal−insulator transition offers a new strategy to produce a large on/off current ratio through reversible electrochemical hydrogenation of the graphene channels. Therefore, the performance of such electrochemical graphene FETs greatly relies on the kinetics of hydrogenation reaction. Here, we show that the switching time can be systemically controlled by the applied gate voltages and geometries of graphene channels. The turn-on and turn-off time display an exponential dependence on the gate voltages, manifesting the dominated Tafel-form kinetics of hydrogenation reaction in a two-dimensional limit. Moreover, the turn-off time is inversely proportional to the channel width but independent of the length, while the turn-on time relies on both the width and length, as well as the off-state gate voltage and duration. Our work improves the response time to the magnitude of tens of microseconds and advances the application of graphene-based electronic devices.

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“…When it comes to the development of new materials, the use of non-metals [6][7][8] or non-noble metals [9][10][11] catalysts are two major trends currently involving a big volume of research for many different processes. Carbon-based materials represent an interesting group, thanks to the development of a wide variety of techniques to control their morphology and chemical composition, including carbon nanotubes [12][13][14], graphene-based compounds [15][16][17], carbon shells [18], graphitic carbon nitrides [19][20][21][22], among many other options. These diverse morphologies and structures exhibit the intrinsic advantage of high surface area, good electrical and thermal conductivity, and high stability for reduction or hydrogenation processes [23,24].…”

Section: Introductionmentioning

confidence: 99%

Simple, controllable and environmentally friendly synthesis of FeCoNiCuZn-based high-entropy alloy (HEA) catalysts, and their surface dynamics during nitrobenzene hydrogenation

Márquez

Santos

Buijnsters

et al. 2022

Electrochimica Acta

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Large transport gap modulation in graphene via electric-field-controlled reversible hydrogenation

Cited by 23 publications

References 54 publications

Metaplastic and energy-efficient biocompatible graphene artificial synaptic transistors for enhanced accuracy neuromorphic computing

Metaplastic and energy-efficient biocompatible graphene artificial synaptic transistors for enhanced accuracy neuromorphic computing

Tafel-Kinetics-Controlled High-Speed Switching in a Electrochemical Graphene Field-Effect Transistor

Simple, controllable and environmentally friendly synthesis of FeCoNiCuZn-based high-entropy alloy (HEA) catalysts, and their surface dynamics during nitrobenzene hydrogenation

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