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Reconfigurable metamaterial processing units that solve arbitrary linear calculus equations.
Fu, Pengyu; Xu, Zimeng; Zhou, Tiankuang; Li, Hao; Wu, Jiamin; Dai, Qionghai; Li, Yue.
Affiliation
  • Fu P; Department of Electronic Engineering, Tsinghua University, Beijing, China.
  • Xu Z; Department of Electronic Engineering, Tsinghua University, Beijing, China.
  • Zhou T; Department of Electronic Engineering, Tsinghua University, Beijing, China.
  • Li H; Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China.
  • Wu J; Department of Automation, Tsinghua University, Beijing, China.
  • Dai Q; Department of Electronic Engineering, Tsinghua University, Beijing, China.
  • Li Y; Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China. wujiamin@tsinghua.edu.cn.
Nat Commun ; 15(1): 6258, 2024 Jul 24.
Article in En | MEDLINE | ID: mdl-39048558
ABSTRACT
Calculus equations serve as fundamental frameworks in mathematics, enabling describing an extensive range of natural phenomena and scientific principles, such as thermodynamics and electromagnetics. Analog computing with electromagnetic waves presents an intriguing opportunity to solve calculus equations with unparalleled speed, while facing an inevitable tradeoff in computing density and equation reconfigurability. Here, we propose a reconfigurable metamaterial processing unit (MPU) that solves arbitrary linear calculus equations at a very fast speed. Subwavelength kernels based on inverse-designed pixel metamaterials are used to perform calculus operations on time-domain signals. In addition, feedback mechanisms and reconfigurable components are used to formulate and solve calculus equations with different orders and coefficients. A prototype of this MPU with a compact planar size of 0.93λ0×0.93λ0 (λ0 is the free-space wavelength) is constructed and evaluated in microwave frequencies. Experimental results demonstrate the MPU's ability to successfully solve arbitrary linear calculus equations. With the merits of compactness, easy integration, reconfigurability, and reusability, the proposed MPU provides a potential route for integrated analog computing with high speed of signal processing.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Nat Commun Journal subject: BIOLOGIA / CIENCIA Year: 2024 Document type: Article Affiliation country: China Country of publication: Reino Unido

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Nat Commun Journal subject: BIOLOGIA / CIENCIA Year: 2024 Document type: Article Affiliation country: China Country of publication: Reino Unido