Epitaxial growth of a 100-square-centimetre single-crystal hexagonal boron nitride monolayer on copper

Wang, Li; Xu, Xiaozhi; Zhang, Leining; Qiao, Ruixi; Wu, Muhong; Wang, Zhi‐Chang; Zhang, Shuai; Liang, Jing; Zhang, Zhihong; Chen, Wang; Xie, Xuedong; Zong, Junyu; Shan, Yongkui; Guo, Yi; Willinger, Marc Georg; Wu, Hui; Li, Qunyang; Wang, Wenlong; Gao, Peng; Wu, Shiwei; Zhang, Yi; Jiang, Ying; Yu, Dapeng; Wang, Enge; Bai, Xuedong; Wang, Zhujun; Ding, Feng; Liu, Kaihui

doi:10.1038/s41586-019-1226-z

Cited by 515 publications

(507 citation statements)

References 37 publications

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“…On the other hand, chemical vapor deposition (CVD) is a welldeveloped method to grow high quality 2D materials and to fabricate electronic devices on various substrates 18 , which provides the possibility to directly obtain perfect vdW contacts with metals, like graphene grown on Cu (111) surface 19 and hBN grown on Cu (110) surface 20 . As to the CVD growth of TMDs, insulating substrates are commonly used 21 and Au is almost the only metal substrate and is known to form vdW interfaces with TMDs thanks to its chemical stability in chalcogen-rich environments during CVD [22][23][24][25] .…”

mentioning

confidence: 99%

Van der Waals interfacial reconstruction in monolayer transition-metal dichalcogenides and gold heterojunctions

Luo

Zhang

et al. 2020

Nat Commun

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The structures and properties of van der Waals (vdW) heterojunctions between semiconducting two-dimensional transition-metal dichalcogenides (2D TMDs) and conductive metals, such as gold, significantly influence the performances of 2D-TMD based electronic devices. Chemical vapor deposition is one of the most promising approaches for large-scale synthesis and fabrication of 2D TMD electronics with naturally formed TMD/metal vdW interfaces. However, the structure and chemistry of the vdW interfaces are less known. Here we report the interfacial reconstruction between TMD monolayers and gold substrates. The participation of sulfur leads to the reconstruction of Au {001} surface with the formation of a metastable Au 4 S 4 interfacial phase which is stabilized by the top MoS 2 and WS 2 monolayers. Moreover, the enhanced vdW interaction between the reconstructed Au 4 S 4 interfacial phase and TMD monolayers results in the transition from n-type TMD-Au Schottky contact to ptype one with reduced energy barrier height.

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confidence: 99%

Van der Waals interfacial reconstruction in monolayer transition-metal dichalcogenides and gold heterojunctions

Luo

Zhang

et al. 2020

Nat Commun

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“…For example, the SiO 2 substrate results in a suppression of the average mobility 750 ± 350 cm 2 V −1 s −1 compared to HfO 2 and polyimide substrates, whose value reaches up to 4.9 × 10 3 cm 2 V −1 s −1 . Carrier mobility up to 10 000–197 600 cm 2 V −1 s −1 was achieved by encapsulating graphene in h‐BN, providing unprecedented possibilities for sensing applications if considering recent progress toward the growth of large‐area high‐quality, single‐crystal graphene and h‐BN monolayer on Cu …”

Section: Principle Fabrication and Operation Of Graphene Nanoelectrmentioning

confidence: 99%

Ultrasensitive Field‐Effect Biosensors Enabled by the Unique Electronic Properties of Graphene

Zhang

Jing

Shen

et al. 2019

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100

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This review provides a critical overview of current developments on nanoelectronic biochemical sensors based on graphene. Composed of a single layer of conjugated carbon atoms, graphene has outstanding high carrier mobility and low intrinsic electrical noise, but a chemically inert surface. Surface functionalization is therefore crucial to unravel graphene sensitivity and selectivity for the detection of targeted analytes. To achieve optimal performance of graphene transistors for biochemical sensing, the tuning of the graphene surface properties via surface functionalization and passivation is highlighted, as well as the tuning of its electrical operation by utilizing multifrequency ambipolar configuration and a high frequency measurement scheme to overcome the Debye screening to achieve low noise and highly sensitive detection. Potential applications and prospectives of ultrasensitive graphene electronic biochemical sensors ranging from environmental monitoring and food safety, healthcare and medical diagnosis, to life science research, are presented as well.

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“…[163,164] Besides, some prototype demonstrations of 2D layered materials applications in neuromorphic computing are achieved on the basis of mechanical approach. But the associated challenges cannot be overlooked.…”

Section: Challenges and Outlookmentioning

confidence: 99%

2D Layered Materials for Memristive and Neuromorphic Applications

Wang

Meng

et al. 2019

Adv Elect Materials

101

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demonstrated that the memristive devices exhibit many promising features, [3][4][5][6][7][8] such as non-volatility, high speed switching, high endurance, high-density integration, CMOS-compatible fabrication, and so on. These features make them ideal candidates for applications in memory devices, [3,5,9] in-memory computing, [3,[10][11][12] and edge computing. [13,14] The working principle of the TMOs-based memristive devices relies on ion drift or diffusion, which resembles motion of ions in the biological neurons and synapses. The ionic motions exhibit dynamic behaviors. Thus, the memristive devices can be used to emulate the synaptic plasticity [15] and neurons. [16][17][18] Compared to traditional silicon synapses [19][20][21] and neurons [22,23] requiring complex circuits, such emerging memristive devices have compact structures and enhanced func-

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Epitaxial growth of a 100-square-centimetre single-crystal hexagonal boron nitride monolayer on copper

Cited by 515 publications

References 37 publications

Van der Waals interfacial reconstruction in monolayer transition-metal dichalcogenides and gold heterojunctions

Van der Waals interfacial reconstruction in monolayer transition-metal dichalcogenides and gold heterojunctions

Ultrasensitive Field‐Effect Biosensors Enabled by the Unique Electronic Properties of Graphene

2D Layered Materials for Memristive and Neuromorphic Applications

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