A Facile Fabrication and Transfer Method of Vertically Aligned Carbon Nanotubes on a Mo/Ni Bilayer for Wearable Energy Devices

Lim, Chanhyuk; Shin, Yoonsoo; Hong, Seong Wook; Lee, Sangkyu; Kim, Dae‐Hyeong

doi:10.1002/admi.201902170

Cited by 12 publications

(9 citation statements)

References 48 publications

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“…The power supply devices (Figure H), including energy storage, harvest, and transfer devices, need to be miniaturized, lightweight, ultrathin, and stretchable for application to biointegrated electronics. − The large specific surface area, excellent energy storage characteristics, and deformability of the nanomaterials are beneficial for energy storage devices for such purposes. − Despite tremendous research efforts, ideally soft energy storage devices, which exhibit high stretchability, high energy storage capacity, and long-term stability, are yet to be developed.…”

Section: Device Components For Soft Bio-integrated Electronicsmentioning

confidence: 99%

Soft Bioelectronics Based on Nanomaterials

et al. 2021

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Recent advances in nanostructured materials and unconventional device designs have transformed the bioelectronics from a rigid and bulky form into a soft and ultrathin form and brought enormous advantages to the bioelectronics. For example, mechanical deformability of the soft bioelectronics and thus its conformal contact onto soft curved organs such as brain, heart, and skin have allowed researchers to measure high-quality biosignals, deliver real-time feedback treatments, and lower long-term side-effects in vivo. Here, we review various materials, fabrication methods, and device strategies for flexible and stretchable electronics, especially focusing on soft biointegrated electronics using nanomaterials and their composites. First, we summarize top-down material processing and bottom-up synthesis methods of various nanomaterials. Next, we discuss state-of-the-art technologies for intrinsically stretchable nanocomposites composed of nanostructured materials incorporated in elastomers or hydrogels. We also briefly discuss unconventional device design strategies for soft bioelectronics. Then individual device components for soft bioelectronics, such as biosensing, data storage, display, therapeutic stimulation, and power supply devices, are introduced. Afterward, representative application examples of the soft bioelectronics are described. A brief summary with a discussion on remaining challenges concludes the review.

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Section: Device Components For Soft Bio-integrated Electronicsmentioning

confidence: 99%

Soft Bioelectronics Based on Nanomaterials

et al. 2021

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“…The kirigami-based array design allows transferring the high-density image sensor array from a planar surface to a curvilinear surface while minimizing the mechanical stress. [61][62][63][64][81][82][83][84][85] Furthermore, the ultrathin and soft 2D materials (i.e., MoS 2 and graphene) help in preventing mechanical fractures of the array on a hemispherical surface. The photodetector exhibited high photoabsorption efficiency [40] (>5 × 10 7 m -1 ), photoresponsibility [40] ≈2200 A W -1 ), and fracture strain [40] (≈23%), and the curved image sensor array could be conformally integrated on a hemispherical surface with small induced strains (Figure 3g).…”

Section: Chambered-eye-inspired Artificial Visionmentioning

confidence: 99%

Bio‐Inspired Artificial Vision and Neuromorphic Image Processing Devices

Kim

Lee

et al. 2021

Adv Materials Technologies

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However, conventional image recognition systems using a flat image sensor array with a multilens optical system and the von-Neumann computing architecture for processing the acquired image data have several limitations such as high system-level complexity, bulky module size, large computing load, and low energy efficiency. [7] Therefore, advanced devices in both image acquisition and image data processing are required. As a result, bio-inspired imaging devices [8][9][10] (i.e., artificial vision) and neuromorphic image processing devices [11][12][13] (i.e., artificial synapse) have received considerable attention (Figure 1).Bio-inspired imaging devices (e.g., bioinspired camera) have been developed for image acquisition. [14] Conventional imaging devices require bulky and heavy optical systems to obtain high-quality visual information. [15] In contrast, natural eyes have a simple and small optical geometry and high-quality image acquisition capability. [16,17] Therefore, bio-inspired artificial vision has been developed by mimicking the unique structural and functional advantage of natural eyes [2,6] (Figure 1a). For example, the chambered eye, typically found in humans and aquatic animals, exhibits a wide field of view, low optical aberration, and facile accommodation with a simple optical system. [16,17] The compound eye has distinctive optical geometries, and such structures offer various useful visual features. [18,19] Neuromorphic computing devices that can efficiently process massive image data acquired from the imaging device have been developed for image data processing. [20][21][22] The conventional von-Neumann architecture, in which the central processing unit and memory unit are separated, is not suitable to efficiently process the massive unstructured image data. [23,24] Therefore, a novel computing device inspired by the human brain (i.e., electronic synapse) has been developed [25,26] (Figure 1b). For example, the memristor crossbar array can efficiently perform vector multiplications. [27] Such a neuromorphic device implements artificial neural networks (ANN) in the hardware and enables efficient parallel processing of image data with low energy consumption. [25] In a previous study, a device that integrates the synaptic device and photodetector in one unit has been reported. [26] Despite recent progress in the hardware of the neuromorphic image data processing devices, such devices still require Remarkable technological developments for efficient image recognition (i.e., image acquisition and image data processing) have been reported in the past decade. Such advances in imaging and image processing technologies have driven significant progress in mobile electronics and machine vision applications. In particular, for image acquisition devices, two types of natural eyes (i.e., chambered and compound eyes) have inspired the development of novel multifunctional imaging devices with unique optical geometries. For image data processing devices, novel computing devices based on memristor crossbar arrays,...

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“…A theoretical study of the water-assisted thin film delamination showed that it is feasible to conduct wafer-scale layer transfer with almost 100% yield without any significant performance degradation of the exfoliated devices . In the past decade, a range of devices including amorphous Si thin film solar cells, nanowire electronic devices, resistive random access memory (RRAM) devices, magnetic nanodevices, solar absorbers for solar thermal energy conversion, and supercapacitors have been developed via a water-assisted thin film delamination method. Wie et al showed the integration of various nanomaterials (e.g., silver nanowire, crystalline Si nanomembranes, MoS 2 ) on a Ni/SiO 2 /Si substrate for the development of various functional devices and separation of the fabricated device layer via water-assisted thin film delamination method .…”

Section: Crack-assisted Layer Transfer With Interfacial Fracture Toug...mentioning

confidence: 99%

Controlled Cracking for Large-Area Thin Film Exfoliation: Working Principles, Status, and Prospects

Lee

Tan

Jagadish

et al. 2020

ACS Appl. Electron. Mater.

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The production of flexible monocrystalline semiconductor thin films less than a few tens of micrometers in thickness is currently receiving huge interest in various emerging applications such as mobile health care (mHealth), wearable devices, smart cities, and Internet of things (IoT). However, conventional techniques fail to produce wafer-scale monocrystalline thin films without the use of sophisticated equipment. Recently, the controlled cracking method has shown promise as a facile and scalable method to produce monocrystalline inorganic semiconductor thin films such as Si, Ge, III–V, and III–N materials. In this method, a crystalline semiconductor thin film can be exfoliated from its thick donor substrate via subsurface crack propagation. The cracking based layer transfer approach does not require expensive processing equipment and enables the production of multiple thin films from the same donor substrate. In this review, we present the working principles, recent progress, and future prospects of this emerging crack-assisted layer transfer technology. The unique advantages of this technology for state-of-the-art flexible (opto)electronics are also highlighted. This review offers insights for the fabrication of large-scale flexible monocrystalline semiconductors, which is crucial for the development of next-generation (opto)electronics.

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A Facile Fabrication and Transfer Method of Vertically Aligned Carbon Nanotubes on a Mo/Ni Bilayer for Wearable Energy Devices

Cited by 12 publications

References 48 publications

Soft Bioelectronics Based on Nanomaterials

Soft Bioelectronics Based on Nanomaterials

Bio‐Inspired Artificial Vision and Neuromorphic Image Processing Devices

Controlled Cracking for Large-Area Thin Film Exfoliation: Working Principles, Status, and Prospects

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