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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Machine learning accelerates the materials discovery

Materials Today Communications, Journal Year: 2022, Volume and Issue: 33, P. 104900 - 104900

Published: Nov. 9, 2022

Language: Английский

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Machine learning and deep learning in phononic crystals and metamaterials – A review

Materials Today Communications, Journal Year: 2022, Volume and Issue: 33, P. 104606 - 104606

Published: Oct. 4, 2022

Language: Английский

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Data‐Driven Design for Metamaterials and Multiscale Systems: A Review

Advanced Materials, Journal Year: 2023, Volume and Issue: 36(8)

Published: Dec. 5, 2023

Abstract Metamaterials are artificial materials designed to exhibit effective material parameters that go beyond those found in nature. Composed of unit cells with rich designability assembled into multiscale systems, they hold great promise for realizing next‐generation devices exceptional, often exotic, functionalities. However, the vast design space and intricate structure–property relationships pose significant challenges their design. A compelling paradigm could bring full potential metamaterials fruition is emerging: data‐driven This review provides a holistic overview this rapidly evolving field, emphasizing general methodology instead specific domains deployment contexts. Existing research organized modules, encompassing data acquisition, machine learning‐based cell design, optimization. The approaches further categorized within each module based on shared principles, analyze compare strengths applicability, explore connections between different identify open questions opportunities.

Language: Английский

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Lightweight cellular multifunctional metamaterials with superior low-frequency sound absorption, broadband energy harvesting and high load-bearing capacity

Materials & Design, Journal Year: 2024, Volume and Issue: 241, P. 112912 - 112912

Published: April 2, 2024

Multifunctional materials are highly desired for the design of compact engineering structures, such as aircraft where weight reduction, sound absorption, load carrying, and energy harvesting key considerations. However, challenge remains in balance multiple functionalities. Here, we combine sandwich structure with neck-embedded cavities to a cellular metamaterial having sound-absorption, compression/impact resistance For an autoencoder-like neural network is constructed generate instant design, after which probabilistic module inserted optimize it by searching solutions slightly expanded space. This inverse has been experimentally validated, showing broadband absorption from 400 650 Hz merely nine ultra-thin resonators. Beyond serving absorber, resonant cavities, once installed well-tuned piezoelectric membranes, can gather acoustic at low frequencies. Additionally, inherits excellent mechanical properties honeycomb cores, density 0.64 g/cm3 yet displaying high yield strength (21.2 MPa) out-of-plane compression test superior capability (8.6 J/cm3) low-velocity impact tests. work presents effective approach lightweight metamaterials functionalities sought-after practical engineering.

Language: Английский

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Wind turbine vibration management: An integrated analysis of existing solutions, products, and Open-source developments

Energy Reports, Journal Year: 2024, Volume and Issue: 11, P. 3756 - 3791

Published: March 25, 2024

The renewable energy sector witnesses increased demand due to crises and climate change. Wind energy, in particular, is promising for reducing fossil fuel dependence attracting global investments. Developing can lead high-performance processes, decarbonise the economy, create jobs, promote sustainable generation, benefiting environment socioeconomic. Therefore, increasing wind presents challenges efficiently connecting power, managing electrical systems, designing larger turbines. turbines are generator systems with advanced technology. To meet demand, projects must optimise different environments, which be costly lack of knowledge uncertainties. Vibration dynamic instability still persistent issues holding a few limitations turbine A reliable represents economic effective production. Over years, various control have been developed attenuate mitigate vibration on This paper provides critical up-to-date review strategies, offering an integrated analysis developments from 2015 present. encompasses comprehensive examination vibrations explores both existing emerging solutions, including product devices open-source innovations, providing contemporary frame reference facilitate future research development techniques context energy.

Language: Английский

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Systematic design of Cauchy symmetric structures through Bayesian optimization

International Journal of Mechanical Sciences, Journal Year: 2022, Volume and Issue: 236, P. 107741 - 107741

Published: Sept. 13, 2022

Language: Английский

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Deep-learning-based framework for inverse design of a defective phononic crystal for narrowband filtering

International Journal of Mechanical Sciences, Journal Year: 2023, Volume and Issue: 255, P. 108474 - 108474

Published: May 18, 2023

Language: Английский

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Deep learning for the design of phononic crystals and elastic metamaterials

Journal of Computational Design and Engineering, Journal Year: 2023, Volume and Issue: 10(2), P. 602 - 614

Published: Feb. 6, 2023

Abstract The computer revolution coming by way of data provides an innovative approach for the design phononic crystals (PnCs) and elastic metamaterials (EMs). By establishing analytical surrogate model PnCs/EMs, deep learning based on artificial neural networks possesses superiorities rapidity accuracy in design, making up shortcomings traditional methods. Here, recent progresses forward prediction, parameter topology PnCs EMs are reviewed. challenges perspectives this emerging field also commented.

Language: Английский

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Elastic metamaterials for guided waves: from fundamentals to applications

Smart Materials and Structures, Journal Year: 2023, Volume and Issue: 32(12), P. 123001 - 123001

Published: Oct. 16, 2023

Abstract Guided waves, elastic waves propagating through bounded structures, play a pivotal role in various applications, including ultrasonic non-destructive testing and structural health monitoring. Recently, metamaterials artificially engineered to exhibit physical properties not typically seen nature have emerged as ground-breaking approach, heralding new era guided wave-based technologies. These offer innovative solutions overcome the inherent constraints of traditional technology. This paper comprehensively reviews from their fundamental principles diverse focusing on transformative impact wave manipulation.

Language: Английский

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