Enhancing Physical Randomness in Ta<sub>2</sub>O<sub>5</sub>/HfO<sub>2</sub> Based Memristors through Electrode Engineering for True Random Number Generation

True random number generators (TRNGs) based on memristors utilize inherent switching variability to generate unpredictable true random numbers. Herein, the performance and instability of Ta<sub>2</sub>O<sub>5</sub>/HfO<sub>2</sub>/Pt based memristors induced by their top electrodes are investigated. With Ag, Ta, and Pt as their top electrodes, Ta<sub>2</sub>O<sub>5</sub>/HfO<sub>2</sub>/Pt based memristors exhibit volatility, bipolarity, and unipolarity, respectively, which correspond to different conduction mechanism models. The intrinsic stochastic characteristics can be leveraged in various TRNG circuits, especially enhancing the throughput rate and continuity of circuits by utilizing unipolar Pt/Ta<sub>2</sub>O<sub>5</sub>/HfO<sub>2</sub>/Pt devices. Notably, under optimized conditions, the TRNG based on the unipolar device achieves a throughput rate of approximately 160 kb/s, and the generated true random numbers passed all 15 NIST SP 800-22 randomness tests. This work not only realizes a TRNG with a unipolar memristor as its core entropy source but also underscores the significance in securing encrypted transmission for Internet of Things applications.

Authors

Institutions

Publication Details

Journal
ACS Nano
Published
2025-10-09
DOI
https://doi.org/10.1021/acsnano.5c05204
Citations
2
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
1.46
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing Physical Randomness in Ta2O5/HfO2 Based Memristors through Electrode Engineering for True Random Number Generation

Bei Jiang, Xingqiang Liu, Yang Xiang-Dong, Hao Huang et al.
2 citations
ACS Nano
Advanced Memory and Neural Computing
1.46
article

Enhancing Physical Randomness in Ta2O5/HfO2 Based Memristors through Electrode Engineering for True Random Number Generation

Bei Jiang, Xingqiang Liu, Yang Xiang-Dong, Hao Huang, Xingan Jiang, Pei‐Yin Su, Desheng Cai, Xuming Zou, Kenli Li, Leicheng Zhao, Cong Ye, Yong Wang, Zihao Chen, Zi-Han Wu, Ruxin Li, Yahui Qing, Yongtao Shan
article en
2 citations

Abstract

True random number generators (TRNGs) based on memristors utilize inherent switching variability to generate unpredictable true random numbers. Herein, the performance and instability of Ta<sub>2</sub>O<sub>5</sub>/HfO<sub>2</sub>/Pt based memristors induced by their top electrodes are investigated. With Ag, Ta, and Pt as their top electrodes, Ta<sub>2</sub>O<sub>5</sub>/HfO<sub>2</sub>/Pt based memristors exhibit volatility, bipolarity, and unipolarity, respectively, which correspond to different conduction mechanism models. The intrinsic stochastic characteristics can be leveraged in various TRNG circuits, especially enhancing the throughput rate and continuity of circuits by utilizing unipolar Pt/Ta<sub>2</sub>O<sub>5</sub>/HfO<sub>2</sub>/Pt devices. Notably, under optimized conditions, the TRNG based on the unipolar device achieves a throughput rate of approximately 160 kb/s, and the generated true random numbers passed all 15 NIST SP 800-22 randomness tests. This work not only realizes a TRNG with a unipolar memristor as its core entropy source but also underscores the significance in securing encrypted transmission for Internet of Things applications.

ACS NanoVol. 19(41)
Guangxi University (CN), Ningbo University of Technology (CN), Hunan University (CN), Changsha University (CN), General Research Institute for Nonferrous Metals (China) (CN), Hebei Semiconductor Research Institute (CN), Hubei University (CN)
Openalex Percentile: Top 15%
Advanced Memory and Neural Computing
1.46
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.