Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Janguk Han"'
Autor:
Kyung Seok Woo, Janguk Han, Su-in Yi, Luke Thomas, Hyungjun Park, Suhas Kumar, Cheol Seong Hwang
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-9 (2024)
Abstract Information security and computing, two critical technological challenges for post-digital computation, pose opposing requirements – security (encryption) requires a source of unpredictability, while computing generally requires predictabi
Externí odkaz:
https://doaj.org/article/fd835305289b4eafbfda729cb705eb85
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-8 (2022)
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
Externí odkaz:
https://doaj.org/article/950d36ecf3184345965e48b0a0c49bdd
Autor:
Yoon Ho Jang, Woohyun Kim, Jihun Kim, Kyung Seok Woo, Hyun Jae Lee, Jeong Woo Jeon, Sung Keun Shim, Janguk Han, Cheol Seong Hwang
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-9 (2021)
Recently there has been an interest in utilising memristors as physical temporal kernels. Here, Jang et al demonstrate a physical temporal kernel using a memristor combined with a capacitor and resistor, where the additional circuit elements can be v
Externí odkaz:
https://doaj.org/article/5ae0334dfbfd4726836aa82657d7df91
Publikováno v:
Advanced Intelligent Systems, Vol 3, Iss 7, Pp n/a-n/a (2021)
Herein, a true random number generator (TRNG) based on a CuxTe1−x diffusive memristor (DM) using its threshold switching (TS) behavior is reported. The intrinsic stochasticity of the TS behavior contributes to the randomness of the TRNG system. The
Externí odkaz:
https://doaj.org/article/9febff8b32db4c83b5295aaf536d61dd
Autor:
In Kyung Baek, Soo Hyung Lee, Yoon Ho Jang, Hyungjun Park, Jaehyun Kim, Sunwoo Cheong, Sung Keun Shim, Janguk Han, Joon-Kyu Han, Gwang Sik Jeon, Dong Hoon Shin, Kyung Seok Woo, Cheol Seong Hwang
Publikováno v:
Nanoscale Advances; 6/7/2024, Vol. 6 Issue 11, p2892-2902, 11p
Publikováno v:
Advanced Intelligent Systems, Vol 3, Iss 7, Pp n/a-n/a (2021)
Herein, a true random number generator (TRNG) based on a CuxTe1−x diffusive memristor (DM) using its threshold switching (TS) behavior is reported. The intrinsic stochasticity of the TS behavior contributes to the randomness of the TRNG system. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3340dd31966d15508b825f2e568ac032
https://doi.org/10.1002/aisy.202170057
https://doi.org/10.1002/aisy.202170057