Mechanical metamaterials and beyond

Nature Communications, Journal Year: 2023, Volume and Issue: 14(1)

Published: Sept. 26, 2023

Mechanical metamaterials enable the creation of structural materials with unprecedented mechanical properties. However, thus far, research on has focused passive and tunability their Deep integration multifunctionality, sensing, electrical actuation, information processing, advancing data-driven designs are grand challenges in community that could lead to truly intelligent metamaterials. In this perspective, we provide an overview within beyond classical functionalities. We discuss various aspects approaches for inverse design optimization multifunctional Our aim is new roadmaps discovery next-generation active responsive can interact surrounding environment adapt conditions while inheriting all outstanding features Next, deliberate emerging specific functionalities informative scientific devices. highlight open ahead metamaterial systems at component levels transition into domain application capabilities.

Language: Английский

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A three-dimensional liquid diode for soft, integrated permeable electronics

Nature, Journal Year: 2024, Volume and Issue: 628(8006), P. 84 - 92

Published: March 27, 2024

Language: Английский

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A three-dimensionally architected electronic skin mimicking human mechanosensation

Science, Journal Year: 2024, Volume and Issue: 384(6699), P. 987 - 994

Published: May 30, 2024

Human skin sensing of mechanical stimuli originates from transduction mechanoreceptors that converts external forces into electrical signals. Although imitating the spatial distribution those can enable developments electronic skins capable decoupled normal/shear and strains, it remains elusive. We report a three-dimensionally (3D) architected (denoted as 3DAE-Skin) with force strain components arranged in 3D layout mimics Merkel cells Ruffini endings human skin. This 3DAE-Skin shows excellent performances normal force, shear enables development tactile system for simultaneous modulus/curvature measurements an object through touch. Demonstrations include rapid modulus fruits, bread, cake various shapes degrees freshness.

Language: Английский

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Porifera‐Inspired Lightweight, Thin, Wrinkle‐Resistance, and Multifunctional MXene Foam

Advanced Materials, Journal Year: 2023, Volume and Issue: 36(14)

Published: Dec. 26, 2023

Abstract Transition metal carbides/nitrides (MXenes) demonstrate a massive potential in constructing lightweight, multifunctional wearable electromagnetic interference (EMI) shields for application various fields. Nevertheless, it remains challenging to develop facile, scalable approach prepare the MXene‐based macrostructures characterized by low density, thickness, high mechanical flexibility, and EMI SE at same time. Herein, ultrathin MXene/reduced graphene oxide (rGO)/Ag foams with porifera‐inspired hierarchically porous microstructure are prepared combining Zn 2+ diffusion induction hard template methods. The hierarchical porosity, which includes mesoporous skeleton microporous MXene network within skeleton, not only exerts regulatory effect on stress distribution during compression, making rubber‐like resistant wrinkling but also provides more channels multiple reflections of waves. Due interaction between Ag nanosheets, MXene/rGO, structure, is possible produce an outstanding shielding performance specific surface effectiveness reaching 109152.4 dB cm 2 g −1 . Furthermore, exhibit multifunctionalities, such as transverse Joule heating, longitudinal heat insulation, self‐cleaning, fire resistance, motion detection. These discoveries open up novel pathway development lightweight materials considerable anti‐interference devices.

Language: Английский

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Mechanically-Guided 3D Assembly for Architected Flexible Electronics

Chemical Reviews, Journal Year: 2023, Volume and Issue: 123(18), P. 11137 - 11189

Published: Sept. 7, 2023

Architected flexible electronic devices with rationally designed 3D geometries have found essential applications in biology, medicine, therapeutics, sensing/imaging, energy, robotics, and daily healthcare. Mechanically-guided assembly methods, exploiting mechanics principles of materials structures to transform planar fabricated using mature semiconductor techniques into architected ones, are promising routes such devices. Here, we comprehensively review mechanically-guided methods for electronics. Mainstream classified discussed on the basis their fundamental deformation modes (i.e., rolling, folding, curving, buckling). Diverse interconnects device forms then summarized, which correspond two key components an device. Afterward, structure-induced functionalities highlighted provide guidelines function-driven structural designs electronics, followed by a collective summary resulting applications. Finally, conclusions outlooks given, covering achieve extreme deformations dimensions, inverse design encapsulation strategies as well perspectives future

Language: Английский

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Recent Advances and Applications of Machine Learning in Experimental Solid Mechanics: A Review

Applied Mechanics Reviews, Journal Year: 2023, Volume and Issue: 75(6)

Published: July 17, 2023

Abstract For many decades, experimental solid mechanics has played a crucial role in characterizing and understanding the mechanical properties of natural novel artificial materials. Recent advances machine learning (ML) provide new opportunities for field, including design, data analysis, uncertainty quantification, inverse problems. As number papers published recent years this emerging field is growing exponentially, it timely to conduct comprehensive up-to-date review ML applications mechanics. Here, we first an overview common algorithms terminologies that are pertinent review, with emphasis placed on physics-informed physics-based methods. Then, thorough coverage traditional areas mechanics, fracture biomechanics, nano- micromechanics, architected materials, two-dimensional Finally, highlight some current challenges applying multimodality multifidelity datasets, quantifying predictions, proposing several future research directions. This aims valuable insights into use methods variety examples researchers integrate their experiments.

Language: Английский

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Morphing matter: from mechanical principles to robotic applications

Soft Science, Journal Year: 2023, Volume and Issue: 3(4)

Published: Oct. 31, 2023

The adaptability of natural organisms in altering body shapes response to the environment has inspired development artificial morphing matter. These materials encode ability transform their geometrical configurations specific stimuli and have diverse applications soft robotics, wearable electronics, biomedical devices. However, achieving intricate three-dimensional from a two-dimensional flat state is challenging, as it requires manipulations surface curvature controlled manner. In this review, we first summarize mechanical principles extensively explored for realizing matter, both at material structural levels. We then highlight its robotics field. Moreover, offer insights into open challenges opportunities that rapidly growing field faces. This review aims inspire researchers uncover innovative working create multifunctional matter various engineering fields.

Language: Английский

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Nature-inspired micropatterns

Nature Reviews Methods Primers, Journal Year: 2023, Volume and Issue: 3(1)

Published: Sept. 7, 2023

Language: Английский

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AI-Driven Sensing Technology: Review

Sensors, Journal Year: 2024, Volume and Issue: 24(10), P. 2958 - 2958

Published: May 7, 2024

Machine learning and deep technologies are rapidly advancing the capabilities of sensing technologies, bringing about significant improvements in accuracy, sensitivity, adaptability. These advancements making a notable impact across broad spectrum fields, including industrial automation, robotics, biomedical engineering, civil infrastructure monitoring. The core this transformative shift lies integration artificial intelligence (AI) with sensor technology, focusing on development efficient algorithms that drive both device performance enhancements novel applications various engineering fields. This review delves into fusion ML/DL shedding light their profound design, calibration compensation, object recognition, behavior prediction. Through series exemplary applications, showcases potential AI to significantly upgrade functionalities widen application range. Moreover, it addresses challenges encountered exploiting these for offers insights future trends advancements.

Language: Английский

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Wearable and Implantable Soft Robots

Chemical Reviews, Journal Year: 2024, Volume and Issue: 124(20), P. 11585 - 11636

Published: Oct. 11, 2024

Soft robotics presents innovative solutions across different scales. The flexibility and mechanical characteristics of soft robots make them particularly appealing for wearable implantable applications. scale level invasiveness required depend on the extent human interaction. This review provides a comprehensive overview robots, including applications in rehabilitation, assistance, organ simulation, surgical tools, therapy. We discuss challenges such as complexity fabrication processes, integration responsive materials, need robust control strategies, while focusing advances actuation sensing mechanisms, techniques. Finally, we future outlook, highlighting key proposing potential solutions.

Language: Английский

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