ArticleProceedings of the National Academy of Sciences of the United States of America2024
Parallel mechanical computing: Metamaterials that can multitask.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Active Metamaterials with Tunable Shear Nonreciprocity and Nonlinear Dynamics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Reprogrammable metamaterial robot with embodied versatile computation and mechanical intelligence.Nature communications · 2026Article
- Embodying physical computing into soft robots.Nature communications · 2026Review
- Rotary Electromechanical System Integrating Non-Reciprocal Memory and Combinational Logic.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
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2 authors.
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Abstract
Decades after being replaced with digital platforms, analogue computing has experienced a surging interest following developments in metamaterials and intricate fabrication techniques. Specifically, wave-based analogue computers which impart spatial transformations on an incident wavefront, commensurate with a desired mathematical operation, have gained traction owing to their ability to directly encode the input in its unprocessed form, bypassing analogue-to-digital conversion. While promising, these systems are inherently limited to single-task configurations. Their inability to concurrently perform multiple tasks, or compute in parallel, represents a major hindrance to advancing conceptual mechanical devices with broader computational capabilities. In here, we present a pathway to simultaneously process independent computational tasks within the same architected structure. By breaking time invariance in a set of metasurface building blocks, multiple frequency-shifted beams are self-generated which absorb notable energy amounts from the fundamental signal. The onset of these tunable harmonics enables distinct computational tasks to be assigned to different independent "channels," effectively allowing an analogue mechanical computer to multitask.
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