Multi‐Physical Lattice Metamaterials Enabled by Additive Manufacturing: Design Principles, Interaction Mechanisms, and Multifunctional Applications

Advanced Science, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 20, 2025

Abstract Lattice metamaterials emerge as advanced architected materials with superior physical properties and significant potential for lightweight applications. Recent developments in additive manufacturing (AM) techniques facilitate the of lattice intricate microarchitectures promote their applications multi‐physical scenarios. Previous reviews on have largely focused a specific/single field, limited discussion properties, interaction mechanisms, multifunctional Accordingly, this article critically design principles, structure‐mechanism‐property relationships, enabled by AM techniques. First, are categorized into homogeneous lattices, inhomogeneous other forms, whose principles processes discussed, including benefits drawbacks different fabricating types lattices. Subsequently, structure–mechanism–property relationships mechanisms range fields, mechanical, acoustic, electromagnetic/optical, thermal disciplines, summarized to reveal critical principles. Moreover, metamaterials, such sound absorbers, insulators, manipulators, sensors, actuators, soft robots, management, invisible cloaks, biomedical implants, enumerated. These provide effective guidelines

Language: Английский

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Higher-order topological SAW devices towards topological signal filtering and processing

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Topological crystals provide a transformative platform for chip-scale signal processing, offering exceptional robustness, precise wave manipulation, and ultra-compact integration. However, their extension to phononics, particularly controlling surface acoustic (SAW), has thus far been limited lower-order topological states. This restriction confines functionality primarily protected transport while lacking essential features such as frequency-domain tunability, multifunctionality—key challenges that severely hinder adaptability potential revolutionize processing devices. To fill this gap, we experimentally demonstrate higher-order SAW device capable of both time-domain processing. By leveraging coupling effects, achieve multimode coordination significantly enhance enabling control over leakage suppression, blocking, selective conduction within an footprint. More importantly, our system exhibits order-of-magnitude improvement in stability compared conventional phononic crystals, with minimal resonance shifts (~ 0.1%) even under 6% structural deformation. Our work establishes crucial bridge between fundamental physics practical devices, paving the way processors advancing circuits, acoustoelectric integration, AI-driven technologies.

Language: Английский

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Reprogrammable, In‐Materia Matrix‐Vector Multiplication with Floppy Modes

Advanced Intelligent Systems, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Matrix‐vector multiplications are a fundamental building block of artificial intelligence; this essential role has motivated their implementation in variety physical substrates, from memristor crossbar arrays to photonic‐integrated circuits. Yet realization soft‐matter intelligent systems remains elusive. Herein, A reprogrammable elastic metamaterial that computes matrix‐vector using floppy modes—deformations with near‐zero stored energy is experimentally demonstrated. Floppy modes allow program complex deformations without being hindered by the natural stiffness material; but practical application challenging, as existence depends on global topological properties system. To overcome challenge, continuously parameterized unit cell design well‐defined compatibility characteristics introduced. This then combined form arbitrary can even be reprogrammed after fabrication. The results demonstrate act key enablers for embodied intelligence, smart micro electro mechanical systems(MEMS) devices, and in‐sensor edge computing.

Language: Английский

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Enhanced Deformability Through Distributed Buckling in Stiff Quasicrystalline Architected Materials

Advanced Materials, Journal Year: 2025, Volume and Issue: unknown

Published: April 14, 2025

Abstract Architected materials achieve unique mechanical properties through precisely engineered microstructures that minimize material usage. However, a key challenge of low‐density is balancing high stiffness with stable deformability up to large strains. Current microstructures, which employ slender elements such as thin beams and plates arranged in periodic patterns optimize stiffness, are largely prone instabilities, including buckling brittle collapse at low This here addressed by introducing new class aperiodic architected inspired quasicrystalline lattices. Beam networks derived from canonical patterns, the Penrose tiling two dimensions icosahedral quasicrystals (IQCs) three dimensions, shown create stiff, stretching‐dominated topologies non‐uniform force chain distributions, effectively mitigating global instabilities observed designs distributed localized instabilities. Numerical experimental results confirm effectiveness these combining strains, representing significant advancement development metamaterials for applications requiring impact resistance energy absorption. These demonstrate potential deterministic quasi‐periodic bridge gap between random structures, while branching toward uncharted territory property space materials.

Language: Английский

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Mechanical Neural Networks with Explicit and Robust Neurons

Advanced Science, Journal Year: 2024, Volume and Issue: 11(33)

Published: June 19, 2024

Mechanical computing provides an information processing method to realize sensing-analyzing-actuation integrated mechanical intelligence and, when combined with neural networks, can be more efficient for data-rich cognitive tasks. The requirement of solving implicit and usually nonlinear equilibrium equations motion in training networks makes computation challenging costly. Here, explicit neuron is developed which the response directly determined without need equations. A proposed ensure robustness neuron, i.e., insensitivity defects perturbations. explicitness neurons facilitate assembly various network structures. Two exemplified a robust convolutional recurrent long short-term memory capabilities associative learning, are experimentally demonstrated. introduction streamlines design fulfilling robotic matter level intelligence.

Language: Английский

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Selective dynamic band gap tuning in metamaterials using graded photoresponsive resonator arrays

Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Journal Year: 2024, Volume and Issue: 382(2279)

Published: Aug. 12, 2024

The introduction of metamaterials has provided new possibilities to manipulate the propagation waves in different fields physics, ranging from electromagnetism acoustics. However, despite variety configurations proposed so far, most solutions lack dynamic tunability, i.e. their functionality cannot be altered post-fabrication. Our work overcomes this limitation by employing a photo-responsive polymer fabricate simple metamaterial structure and enable tuning its elastic properties using visible light. consists graded resonators form an array pillars, each giving rise resonances transmission band gaps. Selective laser illumination can then tune frequencies individually or collectively, thus yielding many degrees freedom tunability filtered transmitted wave frequencies, similar playing keyboard, where illuminating pillar corresponds note. This concept used realize low-power active devices for control, including beam splitters, switches filters. article is part theme issue ‘Current developments acoustic science (Part 2)’.

Language: Английский

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The 2024 phononic crystals roadmap

Journal of Physics D Applied Physics, Journal Year: 2024, Volume and Issue: 58(11), P. 113001 - 113001

Published: Dec. 5, 2024

Abstract Over the past 3 decades, phononic crystals experienced revolutionary development for understanding and utilizing mechanical waves by exploring interaction between structures. With significant advances in manufacture technologies from nanoscale to macroscale, attract researchers diverse disciplines study abundant directions such as bandgaps, dispersion engineering, novel modes, reconfigurable control, efficient design algorithms so on. The aim of this roadmap is present current state art, an overview properties, functions applications crystals, opinions on challenges opportunities. various perspectives cover wide topics basic property, homogenization, machine learning assisted design, topological, non-Hermitian, nonreciprocal, nanoscale, chiral, nonlocal, active, spatiotemporal, hyperuniform properties underwater acoustics, seismic wave protection, vibration noise thermal transport, sensing, acoustic tweezers, written over 40 renown experts. It also intended guide researchers, funding agencies industry identifying new prospects upcoming years.

Language: Английский

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Seashell-inspired polarization-sensitive tonotopic metasensor

APL Materials, Journal Year: 2024, Volume and Issue: 12(4)

Published: April 1, 2024

Bioinspiration has widely been demonstrated to be a powerful approach for the design of innovative structures and devices. Recently, this concept extended field elasticity, dynamics, metamaterials. In paper, we propose seashell-inspired metasensor that can simultaneously perform spatial frequency mapping act as polarizer. The structure emerges from universal parametric encompasses diverse spiral geometries with varying circular cross sections curvature radii, all leading tonotopic behavior. Adoption an optimization process leads planar geometry enables us achieve tonotopy orthogonally polarized modes, possibility control polarization well distribution maxima along axis. We demonstrate versatility device discuss possible applications in acoustics sensing.

Language: Английский

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The Blossoming of Ultrasonic Metatransducers

IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, Journal Year: 2024, Volume and Issue: 71(9), P. 1097 - 1105

Published: June 27, 2024

Key requirements to boost the applicability of Ultrasonic systems for in-situ, real-time operations are low hardware complexity and power consumption. These features not available in present-day due fact that US inspections typically achieved through phased arrays featuring a large number individually controlled piezoelectric transducers, generating huge quantities data. To minimize energy computational novel devices feature enhanced functionalities beyond mere conversion (i.e. meta-transducers) can be conceived. This paper reviews potential recent research breakthroughs transducer technology which allow them efficiently perform tasks such as focusing, harvesting, beamforming, data communication, or mode filtering, discusses challenges widespread adoption these solutions.

Language: Английский

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