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Media type:
E-Article
Title:
A programmable chemical computer with memory and pattern recognition
Contributor:
Parrilla-Gutierrez, Juan Manuel;
Sharma, Abhishek;
Tsuda, Soichiro;
Cooper, Geoffrey J. T.;
Aragon-Camarasa, Gerardo;
Donkers, Kevin;
Cronin, Leroy
Published:
Springer Science and Business Media LLC, 2020
Published in:
Nature Communications, 11 (2020) 1
Language:
English
DOI:
10.1038/s41467-020-15190-3
ISSN:
2041-1723
Origination:
University thesis:
Footnote:
Description:
<jats:title>Abstract</jats:title><jats:p>Current computers are limited by the von Neumann bottleneck, which constrains the throughput between the processing unit and the memory. Chemical processes have the potential to scale beyond current computing architectures as the processing unit and memory reside in the same space, performing computations through chemical reactions, yet their lack of programmability limits them. Herein, we present a programmable chemical processor comprising of a 5 by 5 array of cells filled with a switchable oscillating chemical (Belousov–Zhabotinsky) reaction. Each cell can be individually addressed in the ‘on’ or ‘off’ state, yielding more than 2.9 × 10<jats:sup>17</jats:sup> chemical states which arise from the ability to detect distinct amplitudes of oscillations via image processing. By programming the array of interconnected BZ reactions we demonstrate chemically encoded and addressable memory, and we create a chemical Autoencoder for pattern recognition able to perform the equivalent of one million operations per second.</jats:p>