Parallel mechanical computing: Metamaterials that can multitask

IF 9.4 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Proceedings of the National Academy of Sciences of the United States of America Pub Date : 2024-12-18 DOI:10.1073/pnas.2407431121
Mohamed Mousa, Mostafa Nouh
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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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并行机械计算:可执行多任务的超材料
在被数字平台取代几十年后,随着超材料和复杂制造技术的发展,模拟计算的兴趣急剧上升。具体来说,基于波的模拟计算机能对入射波面进行空间变换,从而实现所需的数学运算,由于能够直接对未经处理的输入进行编码,绕过了模数转换,因此备受青睐。虽然这些系统前景广阔,但其本身仅限于单一任务配置。它们无法同时执行多个任务或并行计算,这严重阻碍了具有更广泛计算能力的概念机械装置的发展。在本文中,我们提出了在同一架构内同时处理独立计算任务的途径。通过打破一组元表面构件的时间不变性,可自生成多个移频波束,从基本信号中吸收显著的能量。这些可调谐波的出现使不同的计算任务被分配到不同的独立 "通道",从而有效地使模拟机械计算机能够执行多任务。
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来源期刊
CiteScore
19.00
自引率
0.90%
发文量
3575
审稿时长
2.5 months
期刊介绍: The Proceedings of the National Academy of Sciences (PNAS), a peer-reviewed journal of the National Academy of Sciences (NAS), serves as an authoritative source for high-impact, original research across the biological, physical, and social sciences. With a global scope, the journal welcomes submissions from researchers worldwide, making it an inclusive platform for advancing scientific knowledge.
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