The metamaterial paradigm in wearable electronics
Source abstract
Abstract
Metamaterials transcend the limits of traditional materials by achieving unprecedented performance through architectural design. This paradigm has catalyzed the emergence of meta-wearables—wearable electronics whose functions are encoded in structurally engineered matter, enabling compliant mechanics, tailored waves, and thermal transport. In this article, we summarize state-of-the-art meta-wearables and organize these systems into a three-class taxonomy. We then explain why these architectures matter by analyzing the performance gains from unique architectural designs, and elucidating how their physics are made superior by a dual mechanism: interface programming at the biointerface and transport steering of relevant flows. Moving to a system view, we propose the concept of constraint domains to formalize the essential in situ requirements any on-body system must satisfy. As such, we develop a generalized boundary-programmed design framework that translates near-body uncertainties into architectural rules, and which is transferable across materials, scales, and body sites. Finally, we present a design blueprint tailored to different body areas and discuss future prospects and challenges. The framework and insights we provide open a path for engineering future meta-wearables that are capable of adaptive co-evolution with the human body through embedded intelligence. • A taxonomy of metamaterial roles in wearable systems is defined. • A dual mechanism of interface programming and transport steering is revealed. • Constraint domains and a boundary-programmed design framework are established. • A body-site blueprint is outlined, along with future prospects for meta-wearables.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Advanced Materials and Mechanics · Muscle activation and electromyography studies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
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