Mechanical metamaterials and beyond

Pengcheng Jiao, Jochen Mueller, Jordan R. Raney, Xiaoyu (Rayne) Zheng and Amir H. Alavi ()
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Pengcheng Jiao: Zhejiang University
Jochen Mueller: Johns Hopkins University
Jordan R. Raney: University of Pennsylvania
Xiaoyu (Rayne) Zheng: University of California
Amir H. Alavi: University of Pittsburgh

Nature Communications, 2023, vol. 14, issue 1, 1-17

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

Date: 2023
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DOI: 10.1038/s41467-023-41679-8

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