Thermoelastic wave-based logic for mechanically cognitive materials
Ethan Fort, Mohamed Mousa, and Mostafa Nouh

TL;DR
This paper presents a new class of mechanical computing circuits that use wave scattering and shape memory alloys to achieve fast, reconfigurable logic operations in metamaterials, enabling wave-based analog computing.
Contribution
It introduces a novel wave-based mechanical logic system utilizing metamaterials with shape memory alloys for reconfigurable, high-speed computing, advancing mechanical information processing methods.
Findings
Demonstrated reconfigurable wave-based logic gates
Validated the approach through physical experiments
Showed potential for complex logic circuit construction
Abstract
Recent advances in metamaterials and fabrication techniques have revived interest in mechanical computing. Contrary to techniques relying on static deformations of buckling beams or origami-based lattices, the integration of wave scattering and mechanical memory presents a promising path toward efficient, low-latency elastoacoustic computing. This work introduces a novel class of multifunctional mechanical computing circuits that leverage the rich dynamics of phononic and locally resonant materials. These circuits incorporate memory-integrated components, realized here via metamaterial cells infused with shape memory alloys which recall stored elastic profiles and trigger specific actions upon thermal activation. A critical advantage of this realization is its synergistic interaction with incident vibroacoustic loads and the inherited high speed of waves, giving it a notable performance…
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Taxonomy
TopicsAcoustic Wave Phenomena Research · Shape Memory Alloy Transformations · Neural Networks and Reservoir Computing
