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Gradient-based Design of Computational Granular Crystals
April 9, 2024, 4:41 a.m. | Atoosa Parsa, Corey S. O'Hern, Rebecca Kramer-Bottiglio, Josh Bongard
cs.LG updates on arXiv.org arxiv.org
Abstract: There is growing interest in engineering unconventional computing devices that leverage the intrinsic dynamics of physical substrates to perform fast and energy-efficient computations. Granular metamaterials are one such substrate that has emerged as a promising platform for building wave-based information processing devices with the potential to integrate sensing, actuation, and computation. Their high-dimensional and nonlinear dynamics result in nontrivial and sometimes counter-intuitive wave responses that can be shaped by the material properties, geometry, and configuration …
abstract arxiv building computational computing cs.ai cs.et cs.lg cs.ne design devices dynamics energy engineering gradient information intrinsic platform processing sensing type
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