Dual‐Scale Porous Composite for Tactile Sensor with High Sensitivity over an Ultrawide Sensing Range

Bae, Kyubin; Kim, Minhyeong; Kang, Yong-Woo; Sim, Sangjun; Pyo, Soonjae; Kim, Jongbaeg

doi:10.1002/smll.202203193

Cited by 22 publications

(31 citation statements)

References 74 publications

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“…As shown in the left‐hand panel in Figure , the advanced conductive materials used in the reported work can be divided into the following categorifies: low‐dimensional carbon materials [ 48–65 ] such as carbon black (CB), [ 48–51 ] carbon nanotubes (CNT), [ 52–58 ] and graphene; [ 59–65 ] Metal materials [ 66–74 ] such as silver nanoparticles (AgNP), [ 66–69 ] silver nanowires (AgNW), [ 67–72 ] and liquid metal nanoparticles (LMNPS); [ 70 ] Conductive polymers [ 75–87 ] such as polypyrrole (PPy), [ 75–80 ] polyaniline (PANI), [ 81–83 ] and poly‐3,4‐ethylenedioxythiophene/polystyrene sulfonate (PEDOT:PSS); [ 84–87 ] Other two‐dimensional materials such as MXene. [ 88–93 ] Electrolyte‐coated [ 94–96 ] and semiconductor [ 97,98 ] attached CCPCs have also been reported.…”

Section: Fabrication Of Conductor‐coated Porous Compositesmentioning

confidence: 99%

“…Under different stages, the sponge device has a dual sensing mechanism and exhibits a pressure detection upper limit of 3.84 MPa. [ 58 ]…”

Section: Performance Optimization Of Ccpc Pressure Sensormentioning

confidence: 99%

“…As shown in the left-hand panel in Figure 2, the advanced conductive materials used in the reported work can be divided into the following categorifies: low-dimensional carbon materials [48][49][50][51][52][53][54][55][56][57][58][59][60][61][62][63][64][65] such as carbon black (CB), [48][49][50][51] carbon nanotubes (CNT), [52][53][54][55][56][57][58] and graphene; [59][60][61][62][63][64][65] Metal materials [66][67][68][69][70][71][72][73][74] such as silver nanoparticles (AgNP), [66][67][68][69]…”

Section: Conductive Coating Materialsmentioning

confidence: 99%

“…Porous piezoresistive composite materials with a sponge‐like structure [ 34 ] are divided into pure conductive sponges, [ 35–38 ] composite conductive sponges, [ 39–40 ] conductive sponges impregnated with elastomers, [ 45–48 ] and conductive material‐coated sponges. [ 48–98 ] Different from other aerogels, conductor‐coated porous composites (CCPCs) consist of a conductive coating and an insulating elastomer backbone. CCPC shows attractive large‐scale production potential because of readily available raw materials and facile preparation process.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Design Intelligent Pressure Sensing Devices and System Integrated with Conductor‐Coated Porous Composites

Shen

Gong

et al. 2023

Advanced Sensor Research

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Porous composite pressure sensors have the advantage of a wide deformation range owing to their structural characteristics. It is one of the building blocks for wearable intelligent devices and systems. Conductor-coated porous composites (CCPCs), consisting of a conductive coating and an insulating elastomeric skeleton, exhibit low modulus, high compressibility, and a facile fabrication process. Pressure sensors developed based on CCPCs provide specific intelligent wearable sensor applications, including high-resolution pressure detection and multimodal sensing under extremely compressing environments. Here, representative works on the fabrication, performance, and applications of CCPC devices are reviewed. The "state-of-the-art" compilation of the most sophisticated design strategy of CCPCs with durable, low hysteresis, high sensitivity, and wide detection range is summarized, which also ensures instructive significance for the design of other pressure devices based on soft matter and rigid conductors. Finally, the intelligent device and system scenarios of CCPC devices are introduced.

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Section: Fabrication Of Conductor‐coated Porous Compositesmentioning

confidence: 99%

“…Under different stages, the sponge device has a dual sensing mechanism and exhibits a pressure detection upper limit of 3.84 MPa. [ 58 ]…”

Section: Performance Optimization Of Ccpc Pressure Sensormentioning

confidence: 99%

Section: Conductive Coating Materialsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Design Intelligent Pressure Sensing Devices and System Integrated with Conductor‐Coated Porous Composites

Shen

Gong

et al. 2023

Advanced Sensor Research

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Fully‐Printed Bionic Tactile E‐Skin with Coupling Enhancement Effect to Recognize Object Assisted by Machine Learning

Yu,

Mao,

et al. 2023

Adv Funct Materials

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In the pursuit of tactile sensation resembling human skin, the electronic skin (E‐skin) has long been a subject of interest and inspires the exploration of various biomimetic structures. Nevertheless, the exceptional functionality of living organisms arises from the synergistic interplay of multiple internal factors, i.e. the coupling enhancement effect, which has received limited attention in existing studies. Here, a tactile E‐skin featuring a multicoupled biomimetic structure that mimics three coupling elements found in the skin: Stratum spinosum, Meissner corpuscle, and Piezo2 protein, is proposed. By amalgamating their distinguishing characteristics, this bionic E‐skin surpasses the performance of conventional counterparts such as sensitivity as high as 388.5 kPa−1, hysteresis as low as 0.76%, and response times as short as 10 ms. Furthermore, its fabrication methodology of efficient 3D printing shows great advantages in terms of production cost and customization. Finally, the sensor is expanded to a 9 × 9 pixels array for a machine learning‐assisted intellisense system to recognize the fruits as a human does, achieving an accuracy of 91.4%. All of these prove the promising potential of this multicoupled biomimetic structure in wearable electronics, human–machine interface, soft robotics, and artificial sensing.

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Porous Conductive Hybrid Composite with Superior Pressure Sensitivity and Dynamic Range

Stevens,

Yun,

Hasan

2023

Adv Funct Materials

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Porous conductive composites hold immense promise in flexible sensors and soft robotics due to their pressure‐responsive electrical conductivity. Unlike non‐porous composites whose pressure sensitivity is limited by relatively high elastic modulus, porous materials show improved pressure sensitivity owing to their lower stiffness. Despite this, existing porous composites still suffer from insufficient pressure sensitivity or narrow detection ranges, severely restricting their applications. This work presents a liquid metal hybrid filler porous composite to address these issues. Through experiment and simulation optimization, the composite exhibits a conductivity increase of five order‐of‐magnitude over 0–250 kPa, demonstrating a 900% higher pressure sensitivity than the best non‐porous counterpart in this work. The composite maintains a highly linear response (R2 of 0.999) over an exceptionally wide dynamic range up to 8.9 MPa, with a pressure sensitivity of 8.1 MPa–1, surpassing the state‐of‐the‐art in both pressure range and sensitivity. A proof‐of‐concept pressure sensor array further demonstrates the composite's excellent sensing performance, showing stable response under 100‐cycle loading with a measured pressure deviation of only 1.4%, outperforming existing commercial pressure sensors in terms of sensitivity, detection range and cyclic stability. The porous material design strategy opens doors for high sensitivity pressure sensors in wearable devices, flexible electronics, and soft robotics.

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Dual‐Scale Porous Composite for Tactile Sensor with High Sensitivity over an Ultrawide Sensing Range

Abstract: Research data are not shared.

Cited by 22 publications

References 74 publications

Design Intelligent Pressure Sensing Devices and System Integrated with Conductor‐Coated Porous Composites

Design Intelligent Pressure Sensing Devices and System Integrated with Conductor‐Coated Porous Composites

Fully‐Printed Bionic Tactile E‐Skin with Coupling Enhancement Effect to Recognize Object Assisted by Machine Learning

Porous Conductive Hybrid Composite with Superior Pressure Sensitivity and Dynamic Range

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