Probabilistic computing using Cu0.1Te0.9/HfO2/Pt diffusive memristors

Kyung Seok Woo; Jaehyun Kim; Janguk Han; Woohyun Kim; Yoon Ho Jang; Cheol Seong Hwang

doi:10.1038/s41467-022-33455-x

Nature Communications (Sep 2022)

Probabilistic computing using Cu0.1Te0.9/HfO2/Pt diffusive memristors

Kyung Seok Woo,
Jaehyun Kim,
Janguk Han,
Woohyun Kim,
Yoon Ho Jang,
Cheol Seong Hwang

Affiliations

Kyung Seok Woo: Department of Materials Science and Engineering and Inter-University Semiconductor Research Center, Seoul National University
Jaehyun Kim: Department of Materials Science and Engineering and Inter-University Semiconductor Research Center, Seoul National University
Janguk Han: Department of Materials Science and Engineering and Inter-University Semiconductor Research Center, Seoul National University
Woohyun Kim: Department of Materials Science and Engineering and Inter-University Semiconductor Research Center, Seoul National University
Yoon Ho Jang: Department of Materials Science and Engineering and Inter-University Semiconductor Research Center, Seoul National University
Cheol Seong Hwang: Department of Materials Science and Engineering and Inter-University Semiconductor Research Center, Seoul National University

DOI: https://doi.org/10.1038/s41467-022-33455-x
Journal volume & issue: Vol. 13, no. 1
pp. 1 – 8

Abstract

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Designing a computing scheme to solve complex tasks as the big data field proliferates remains a challenge. Here, the authors present a probabilistic bit generation hardware built using the random nature of Cu x Te1−x /HfO2/Pt memristors capable of performing logic gates with invertible mode, showing the expandability to complex logic circuits.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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