Evolution of Acoustic Logic Gates in Granular Metamaterials

Parsa, Atoosa; Wang, Dong; O’Hern, Corey S.; Shattuck, Mark D.; Kramer‐Bottiglio, Rebecca; Bongard, Josh

doi:10.1007/978-3-031-02462-7_7

Cited by 2 publications

(4 citation statements)

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“…Evolutionary algorithms have long been shown capable of automated optimization in such design spaces [15], [18]. Given this, in previous work [19] we demonstrated that we can evolve the configurations of granular metamaterials such that they act as logic gate. Here, we show that a MOO can densely pack multiple operations into the same piece of material: at one frequency the material acts as an AND gate; at another frequency it acts as an XOR gate.…”

Section: Introductionmentioning

confidence: 82%

“…In our previous paper [19], we introduced the possibility of performing computation in a granular substrate. We showed that we can design a granular assembly made of two types of particles which can act as an AND gate or an XOR gate depending on the frequency of the input vibrations.…”

Section: Discussionmentioning

confidence: 99%

“…Thus, we need to define metrics for each of these two cases to measure the amount of "AND-ness" and "XOR-ness" in a candidate solution. We use the same metrics that we defined in our previous work [19]. As we discussed at the start of this section, we can measure the gain of the system (𝐺 𝑖 𝑗 (𝜔) in equation 1) for each of the four possible input cases ('00', '01', '10', '11').…”

Section: Performance Measuresmentioning

confidence: 99%

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Evolving Programmable Computational Metamaterials

Parsa,

Wang,

O'Hern

et al. 2022

Preprint

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Figure 1: Overview. (a): Multiobjective optimization (MOO ) evolves increasing amounts of computational potential into granular metamatetrials. Each individual in the population is a granular metamaterial composed of two particle types. Different configurations of particles confer different material behaviours. In the approach reported here, vibrations are supplied as input and vibration (if any) is recorded as output. Materials have been found that act as an AND gate (a) or an XOR gate (b). We report here how MOO can discover a single material (d) that, at one frequency acts as an AND gate, and at another frequency acts as an XOR gate. Thus, the superposition of input waves supplied to the system will result in emergent behaviors other than what the material was originally designed to perform. This suggest future materials amenable to reprogramming using increasingly sophisticated programming languages expressed in the frequency domain.

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Section: Introductionmentioning

confidence: 82%

Section: Discussionmentioning

confidence: 99%

Section: Performance Measuresmentioning

confidence: 99%

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Evolving Programmable Computational Metamaterials

Parsa,

Wang,

O'Hern

et al. 2022

Preprint

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“…For example, we envision such local stiffness control may contribute toward metamaterials with adaptable force paths, bulk moduli, and computing functions. 54,55 This paper lays groundwork for the development of adaptable smart materials that can modify their properties based on external stimuli.…”

Section: Discussionmentioning

confidence: 99%