Ionogel Adhesives: From Structural Design to Emerging Applications

Macromolecular Rapid Communications, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 14, 2025

Abstract Adhesives are indispensable in both daily household applications and advanced industrial settings, where they must deliver exceptional bonding performance. Ionogel adhesives, which feature a supporting polymer network infused with ionic liquid (IL), have emerged as promising candidates due to their unique structural functional properties. The presence of species within ionogels promotes non‐covalent interactions—such bonds, ion‐dipole interactions, hydrogen bonding—that enhance cohesion the material adhesion various substrates. These characteristics make ideal for that require robust adhesive performance, especially demanding environments. Despite growing interest ionogel comprehensive review latest advancements this area is lacking. This paper aims fill gap by categorizing adhesives based on composition discussing strategies Additionally, novel designed specific highlighted. Finally, current state research summarized, offers insights into challenges future opportunities development adhesives.

Language: Английский

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Stretchable organic electrochemical transistors for sustained high-fidelity electrophysiology and deep learning-assisted sleep monitoring

Matter, Journal Year: 2025, Volume and Issue: unknown, P. 102086 - 102086

Published: March 1, 2025

Language: Английский

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Versatile Stretchable Conductor with Exceptional Resilience and Rapid Rebound Capabilities: Toward Sustainable and Damage‐Resistant Soft Electronics

Advanced Functional Materials, Journal Year: 2023, Volume and Issue: 34(16)

Published: Dec. 29, 2023

Abstract Stretchable conductors (SCs) have garnered significant attention in both academia and industry, owing to their promising applications flexible electronics. However, achieving a highly resilient rapidly rebounding SC that enables prompt electrical response applied strain, while also being fully recyclable self‐healable, remains challenge. Here, the design preparation of high‐performance based on small bio‐molecule (α‐Lipoic acid) are reported, using straightforward, cost‐effective, scalable method. The engineered exhibits ≈100% rebound ratio fast speed (≈0.4 s) under repeated high strains, along with outstanding sensitivity deformation temperature variation. This ensures possesses precision real‐time sensing attributes. Moreover, features optical transparency (>97%), robust reversible adhesion diverse surfaces (up 5.0 MPa), efficient room‐temperature self‐healing properties, full recyclability. superior properties fundamentally attributed installed hierarchical dynamic bonding at molecular level, which continuous energy dissipation is analyzed through DFT calculations. developed holds great potential for soft electronics human–machine interfaces.

Language: Английский

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Flexible Artificial Tactility with Excellent Robustness and Temperature Tolerance Based on Organohydrogel Sensor Array for Robot Motion Detection and Object Shape Recognition

Advanced Materials, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 10, 2024

Abstract Hydrogel‐based flexible artificial tactility is equipped to intelligent robots mimic human mechanosensory perception. However, it remains a great challenge for hydrogel sensors maintain flexibility and sensory performances during cyclic loadings at high or low temperatures due water loss freezing. Here, robot developed with robustness based on organohydrogel sensor arrays negligent hysteresis temperature tolerance. Conductive polyaniline chains are interpenetrated through poly(acrylamide‐ co ‐acrylic acid) network glycerin/water mixture interchain electrostatic interactions hydrogen bonds, yielding dissipated energy of 1.58 MJ m −3 , ultralow 1000 loadings. Moreover, the binary solvent provides gels outstanding tolerance from −100 60 °C remain flexible, fatigue resistant, conductive (0.27 S −1 ), highly strain sensitive (GF 3.88) pressure (35.8 MPa ). The manipulator finger dorsa pads simultaneously monitor motions detect distribution exerted by grasped objects. A machine learning model used train system recognize shape objects 100% accuracy. organohydrogels promising novel robots.

Language: Английский

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Dynamics of ring-containing polymers: Macromolecular rotaxanes, polyrotaxanes and slide-ring networks

Progress in Polymer Science, Journal Year: 2024, Volume and Issue: 155, P. 101854 - 101854

Published: July 14, 2024

Language: Английский

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