Unknown

Dataset Information

0

Mechanical Metamaterials for Handwritten Digits Recognition.


ABSTRACT: The increasing needs for new types of computing lie in the requirements in harsh environments. In this study, the successful development of a non-electrical neural network is presented that functions based on mechanical computing. By overcoming the challenges of low mechanical signal transmission efficiency and intricate layout design methodologies, a mechanical neural network based on bistable kirigami-based mechanical metamaterials have designed. In preliminary tests, the system exhibits high reliability in recognizing handwritten digits and proves operable in low-temperature environments. This work paves the way for a new, alternative computing system with broad applications in areas where electricity is not accessible. By integrating with the traditional electronic computers, the present system lays the foundation for a more diversified form of computing.

SUBMITTER: Wu L 

PROVIDER: S-EPMC10933649 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature

altmetric image

Publications

Mechanical Metamaterials for Handwritten Digits Recognition.

Wu Lingling L   Lu Yuyang Y   Li Penghui P   Wang Yong Y   Xue Jiacheng J   Tian Xiaoyong X   Ge Shenhao S   Li Xiaowen X   Zhai Zirui Z   Lu Junqiang J   Lu Xiaoli X   Li Dichen D   Jiang Hanqing H  

Advanced science (Weinheim, Baden-Wurttemberg, Germany) 20231225 10


The increasing needs for new types of computing lie in the requirements in harsh environments. In this study, the successful development of a non-electrical neural network is presented that functions based on mechanical computing. By overcoming the challenges of low mechanical signal transmission efficiency and intricate layout design methodologies, a mechanical neural network based on bistable kirigami-based mechanical metamaterials have designed. In preliminary tests, the system exhibits high  ...[more]

Similar Datasets

| S-EPMC10018436 | biostudies-literature
| S-EPMC9702948 | biostudies-literature
| S-EPMC6286172 | biostudies-literature
| S-EPMC7673809 | biostudies-literature
| S-EPMC5264209 | biostudies-literature
| S-EPMC4124469 | biostudies-literature
| S-EPMC4323639 | biostudies-literature
| S-EPMC8126663 | biostudies-literature
| S-EPMC7924465 | biostudies-literature
| S-EPMC7299623 | biostudies-literature