Shape and stiffness memory ionogels with programmable pressure-resistance response

Zhuo, Shuyun; Song, Cheng; Rong, Qinfeng; Zhao, Tianyi; Liu, Mingjie

doi:10.1038/s41467-022-29424-z

Cited by 81 publications

(49 citation statements)

References 35 publications

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“…Ionic Gels. Considering the water evaporation problem of the hydrogel, ionic gels have emerged as an alternative option for ionic skin and artificial intelligence [70][71][72][73][74][75][76][77]. Ionic gels are typically formed by swelling polymer networks in ionic liquids.…”

Section: Solid-state Ionic Materialsmentioning

confidence: 99%

Emerging Iontronic Sensing: Materials, Mechanisms, and Applications

et al. 2022

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Iontronic sensors represent a novel class of soft electronics which not only replicate the biomimetic structures and perception functions of human skin but also simulate the mechanical sensing mechanism. Relying on the similar mechanism with skin perception, the iontronic sensors can achieve ion migration/redistribution in response to external stimuli, promising iontronic sensing to establish more intelligent sensing interface for human-robotic interaction. Here, a comprehensive review on advanced technologies and diversified applications for the exploitation of iontronic sensors toward ionic skins and artificial intelligence is provided. By virtue of the excellent stretchability, high transparency, ultrahigh sensitivity, and mechanical conformality, numerous attempts have been made to explore various novel ionic materials to fabricate iontronic sensors with skin-like perceptive properties, such as self-healing and multimodal sensing. Moreover, to achieve multifunctional artificial skins and intelligent devices, various mechanisms based on iontronics have been investigated to satisfy multiple functions and human interactive experiences. Benefiting from the unique material property, diverse sensing mechanisms, and elaborate device structure, iontronic sensors have demonstrated a variety of applications toward ionic skins and artificial intelligence.

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Section: Solid-state Ionic Materialsmentioning

confidence: 99%

Emerging Iontronic Sensing: Materials, Mechanisms, and Applications

et al. 2022

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“…Ionic conductive elastomers, including hydrogels, ionogels, and liquid-free ionic conductors, have drawn great attention for flexible electronics due to their softness, self-healing, and stretchable properties. − Although great progress in the flexible ionic pressure sensors has been achieved, the sensitivity and detectable range are still the limited factors for their practical applications. To solve the problem, porous ionic conductors, such as gradient ionogels and ionic liquid-doped porous polymers, were prepared for high-performance pressure sensors. , Although these strategies could greatly increase the sensitivity and broad the detection range, the preparation processes of these porous ionic conductors are very complicated. Moreover, the leakage of liquid solvent of the porous ion gel may also limit their practical applications.…”

Section: Introductionmentioning

confidence: 99%

Bio-Inspired Ion-Conducting Foam Elastomer for Human Motion Monitoring

Chen

Luo

et al. 2022

ACS Appl. Polym. Mater.

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Due to their excellent ionic conductivity, stretchability, and self-healing property, elastic ionic conductors have shown great promise for the development of flexible electronics. However, for the ionic pressure sensors, how to enhance their sensitivity and broaden their detectable range is still a challenge. Here, we develop a simple one-step method to prepare foamy structure ionic conductors, that is, ionic conductive foams (ICFs), for high-performance ionic sensing applications. The typical porous structures were constructed through a simple gas foaming technique. The asprepared ICFs combine the advantages of light-weight, stretchable, and self-healing properties. Interestingly, attributed to the porous structure feature, the ICF-based pressure sensor exhibited a high sensitivity (5.23 kPa −1 ), a broad detection range (from 0.1 to 100 kPa), excellent stability, and long-time durability. Moreover, adaptive monitoring of large and tiny pressure changes is also brought out to detect various human motions. This universal classification of ionic conductor is expected to be a promising candidate for flexible device applications in different conditions.

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“…More specifically, the failure strength, Young’s modulus, and toughness of CIIS are 4-fold, 18-fold, and 8-fold higher than those of the hydrated BNC aerogel (Table S1). The advantages of CIIS in terms of the balance between toughness and Young’s modulus, i.e., two of the most important mechanical properties for biomaterials, are also significant even when compared with the previously reported ISs and other commonly used biomaterials such as PAA-ISs, ,,, PAM-ISs, − PVA-ISs, ,, cellulose-ISs, − and SF-ISs. ,− For example, although hydrogel-elastomer hybrid materials have a toughness of up to 41.5 MJ m –3 , their Young’s modulus is only 134 kPa, which is more than 380 times lower than that of CIIS. By contrast, the Young’s modulus of P(AAm- co -AA) IS can reach 289.7 MPa, while its toughness is only 9.7 KJ m –3 , i.e., 165 times lower than that of CIIS (Table S2).…”

mentioning

confidence: 97%

“…In addition to the challenges related to mechanical endurance, another limitation of humanoid ISs is their weak capability for tactile perception. The available tactile object recognition of ISs is mostly based on pressure/force/strain sensing. ,− However, mechanics-based sensing is insufficient for complex object recognition tasks, e.g., intelligent sorting. For example, substances with similar mechanical features, e.g., hard rubber ball and wood ball with similar stiffness, cannot be distinguished by the contact pressure alone.…”

mentioning

confidence: 99%

Humanoid Ionotronic Skin for Smart Object Recognition and Sorting

Dai

Ren

et al. 2022

ACS Materials Lett.

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Nowadays, there is an urgent need for humanoid robots containing human finger-like electronic skins with mechanical endurance and tactile perception. This study reports the development of an ionotronic skin-based humanoid robot hand that can recognize objects precisely through finger tapping or touching. The ionotronic skin is composed of a cytoskeleton-like filament network structure and possesses mechanical properties highly akin to human skins, including softness (Young’s modulus of 51 ± 15 MPa), toughness (1.6 ± 0.7 MJ m–3), and antifatigue-fracture ability. In addition, the i-skin functions as a triboelectric nanogenerator with the ability to perceive the triboelectric signals of an object when in contact with it. By combining triboelectric sensing information, machine learning, and Internet of Things techniques, the humanoid robot hand can accurately recognize different materials among a diverse set of spherical objects and further deliver them to the designated location. The high sorting success rate of 97.2% in 600 tests of recognizing five types of spherical objects, together with the outstanding mechanical and environmental tolerance, allow such humanoid robot hands to be used for intelligent sorting, automatic operation, and assembly in unmanned factories, as well as for the classification of garbage and hazardous materials.

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Shape and stiffness memory ionogels with programmable pressure-resistance response

Cited by 81 publications

References 35 publications

Emerging Iontronic Sensing: Materials, Mechanisms, and Applications

Emerging Iontronic Sensing: Materials, Mechanisms, and Applications

Bio-Inspired Ion-Conducting Foam Elastomer for Human Motion Monitoring

Humanoid Ionotronic Skin for Smart Object Recognition and Sorting

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