Self-clocking fast and variation tolerant true random number generator based on a stochastic mott memristor

Self-clocking fast and variation tolerant true random number generator based on a stochastic mott memristor

Obtaining true random numbers is of great importance for cryptography, however, it can be challenging to obtain a large bit rate. Here, the authors make use of the oscillating behaviour of a Mott memristor, which exhibit rapid oscillations, and therefore a large bit rate, alongside impressive endura...

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Main Authors: Gwangmin Kim, Jae Hyun In, Young Seok Kim, Hakseung Rhee, Woojoon Park, Hanchan Song, Juseong Park, Kyung Min Kim
Format: Article
Language:English
Published: Nature Publishing Group 2021-05-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-021-23184-y
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spelling doaj-a3e34a7d74cb4601ac33a4a259cfb6af2021-05-23T11:13:48ZengNature Publishing GroupNature Communications2041-17232021-05-011211810.1038/s41467-021-23184-ySelf-clocking fast and variation tolerant true random number generator based on a stochastic mott memristorGwangmin Kim0Jae Hyun In1Young Seok Kim2Hakseung Rhee3Woojoon Park4Hanchan Song5Juseong Park6Kyung Min Kim7Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST)Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST)Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST)Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST)Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST)Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST)Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST)Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST)Obtaining true random numbers is of great importance for cryptography, however, it can be challenging to obtain a large bit rate. Here, the authors make use of the oscillating behaviour of a Mott memristor, which exhibit rapid oscillations, and therefore a large bit rate, alongside impressive endurance.https://doi.org/10.1038/s41467-021-23184-y
collection DOAJ
language English
format Article
sources DOAJ
author Gwangmin Kim
Jae Hyun In
Young Seok Kim
Hakseung Rhee
Woojoon Park
Hanchan Song
Juseong Park
Kyung Min Kim
spellingShingle Gwangmin Kim
Jae Hyun In
Young Seok Kim
Hakseung Rhee
Woojoon Park
Hanchan Song
Juseong Park
Kyung Min Kim
Self-clocking fast and variation tolerant true random number generator based on a stochastic mott memristor
Nature Communications
author_facet Gwangmin Kim
Jae Hyun In
Young Seok Kim
Hakseung Rhee
Woojoon Park
Hanchan Song
Juseong Park
Kyung Min Kim
author_sort Gwangmin Kim
title Self-clocking fast and variation tolerant true random number generator based on a stochastic mott memristor
title_short Self-clocking fast and variation tolerant true random number generator based on a stochastic mott memristor
title_full Self-clocking fast and variation tolerant true random number generator based on a stochastic mott memristor
title_fullStr Self-clocking fast and variation tolerant true random number generator based on a stochastic mott memristor
title_full_unstemmed Self-clocking fast and variation tolerant true random number generator based on a stochastic mott memristor
title_sort self-clocking fast and variation tolerant true random number generator based on a stochastic mott memristor
publisher Nature Publishing Group
series Nature Communications
issn 2041-1723
publishDate 2021-05-01
description Obtaining true random numbers is of great importance for cryptography, however, it can be challenging to obtain a large bit rate. Here, the authors make use of the oscillating behaviour of a Mott memristor, which exhibit rapid oscillations, and therefore a large bit rate, alongside impressive endurance.
url https://doi.org/10.1038/s41467-021-23184-y
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