Micro-/nano-voids guided two-stage film cracking on bioinspired assemblies for high-performance electronics

Miao, Weining; Yao, Yuxing; Zhang, Zhiwei; Ma, Chunping; Li, Shengzhe; Tang, Jiayue; Liu, He; Liu, Zemin; Wang, Dianyu; Camburn, Michael A.; Fang, Jen-Chun; Hao, Ruiran; Fang, Xinyu; Zheng, Shasha; Hu, Nan; Wang, Xiaoguang

doi:10.1038/s41467-019-11803-8

Cited by 42 publications

(57 citation statements)

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“…Similarly, Li and co‐workers presented a high‐performance strain sensor with continuous AuNW backbone network and thin AgNW network. [ 61 ] A thin layer of gold was sputtered onto one side of sparse electrospun PU nanofiber network, followed by spin coating of a second AgNW layer on the surface of AuNW backbone. Finally, an encapsulation PDMS layer covered the aforementionned conductive layers to obtain a hierarchically structured strain sensor.…”

Section: Structure Engineering Beneficial For Both Sensing Range and Sensitivitymentioning

confidence: 99%

“…Furthermore, as human vocalization is based on muscle movement and vibration, strain sensors attached on throat muscle can identify various pronunciation of words. [ 61 ] The pronunciation of different words led to different resistance change in the strain sensor. The noninvasive and continuous measurements enabled by the strain sensor can be useful in the rehabilitation of people with damaged vocal cords.…”

Section: Applicationsmentioning

confidence: 99%

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Structural Engineering for High‐Performance Flexible and Stretchable Strain Sensors

Huang

Yin

2020

Advanced Intelligent Systems

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Figure 1. Porous structures for improved sensing range. a) The water-based LBL assembly for coating CB on PU sponges. b) Current response curve of the CB@PU sponge versus compressive strain; inset: relative resistance change (ΔR/R 0 ) versus compressive strain. Reproduced with permission. [32] Copyright 2016, Wiley-VCH. c) Current response curve of the PANIH/C-RGO@PU sponge versus compressive strain. Reproduced with permission. [33] Copyright 2018, Wiley-VCH. d) Structure conversion from conventional foams to auxetic foams. e) The digital photographs and corresponding SEM images of auxetic foam before (left) and after (right) 40% tensile strain. f ) Relative resistance change in conventional foam and auxetic foam versus both compressive strain and tensile strain. Reproduced with permission. [34] Copyright 2016, Wiley-VCH. g) Schematic diagram for the fabrication of CNT/TPU composite-based strain sensor. h) Stress-strain curve and relative resistance change in the CNT/TPU strain sensor. Reproduced with permission. [36]

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Section: Structure Engineering Beneficial For Both Sensing Range and Sensitivitymentioning

confidence: 99%

Section: Applicationsmentioning

confidence: 99%

Structural Engineering for High‐Performance Flexible and Stretchable Strain Sensors

Huang

Yin

2020

Advanced Intelligent Systems

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Section: Photoreceptorsmentioning

confidence: 99%

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confidence: 99%

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Materials, Actuators, and Sensors for Soft Bioinspired Robots

et al. 2020

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This review covers recent advancements in the field of bioinspired soft robotics, with a primary focus on the last 4 years (2017)(2018)(2019)(2020). The review serves as a toolbox for an interdisciplinary audience interested in the most recent bioinspired soft robotic technologies. In particular, it highlights and explores the vital components of soft robots, focusing on the enabling mechanisms and their biological inspirations. The first section discusses the materials used to fabricate soft bio inspired robots. Soft bioinspired actuation and sensing are then discussed, exploring their capabilities and implementation by researchers. Existing challenges and future potentials of bioinspired soft robots are addressed in the concluding remarks. This review provides engineers and scientists with the latest technological advancements and information needed for designing and developing the next generation of soft bioinspired robotic systems. The future applications of these robots will be grand and limitless. Materials Used for Bioinspired Sensors and ActuatorsClassical robotic systems are comprised of rigid bodies, actuators, and sensors. Unfortunately, many of these well-developed actuators and sensors are not transferable to soft bodies. Thus, researchers working in soft robotics need to reinvent actuators and sensors for soft moving bodies. Biological organisms can be an excellent inspiration for designing these soft actuators and sensors, allowing for their integration in both soft and rigid bodies. The design process of soft actuators and sensors have to be initiated with material selection and composition, for they are foundations upon which the actuators and sensors will be built around. Presently, a diversified list of materials has been used in the development of soft robotic systems. This section will cover some of the latest advancements in the last 4 years in the area of material selection and composition for the design and development of soft bioinspired actuators and sensors.During the past 4 years, researchers have produced soft bioinspired actuators and sensors using biological material such as muscle tissue, [23,24] and plant fibers; [25] carbon-based materials such as graphite and graphene oxide (GO) [26][27][28][29][30][31] and carbon nanotubes (CN); [32,33] hydrogel materials such as poly(Nisopropylacrylamide) (PNIPAM), [34,35] liquid crystal elastomers (LCE), [36] dielectric elastomers (DE), [37] and ionic polymermetal composites (IPMC). [38] An overview of these materials (Figure 1), along with their underlying mechanisms, are discussed below.Biological systems can perform complex tasks with high compliance levels. This makes them a great source of inspiration for soft robotics. Indeed, the union of these fields has brought about bioinspired soft robotics, with hundreds of publications on novel research each year. This review aims to survey fundamental advances in bioinspired soft actuators and sensors with a focus on the progress between 2017 and 2020, providing a primer for the materials used i...

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Continuous Energy Harvesting from Ubiquitous Humidity Gradients using Liquid‐Infused Nanofluidics

et al. 2021

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Humidity‐based power generation that converts internal energy of water molecules into electricity is an emerging approach for harvesting clean energy from nature. Here it is proposed that intrinsic gradient within a humidity field near sweating surfaces, such as rivers, soil, or animal skin, is a promising power resource when integrated with liquid‐infused nanofluidics. Specifically, capillary‐stabilized ionic liquid (IL, Omim+Cl‐) film is exposed to the above humidity field to create a sustained transmembrane water‐content difference, which enables asymmetric ion‐diffusion across the nanoconfined fluidics, facilitating long‐term electricity generation with the power density of ≈12.11 µW cm‐2. This high record is attributed to the nanoconfined IL that integrates van der Waals and electrostatic interactions to block movement of Omim+ clusters while allowing for directional diffusion of moisture‐liberated Cl+. This humidity gradient triggers large ion‐diffusion flux for power generation indicates great potential of sweating surfaces considering that most of the earth is covered by water or soil.

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Micro-/nano-voids guided two-stage film cracking on bioinspired assemblies for high-performance electronics

Cited by 42 publications

References 50 publications

Structural Engineering for High‐Performance Flexible and Stretchable Strain Sensors

Structural Engineering for High‐Performance Flexible and Stretchable Strain Sensors

Materials, Actuators, and Sensors for Soft Bioinspired Robots

Continuous Energy Harvesting from Ubiquitous Humidity Gradients using Liquid‐Infused Nanofluidics

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