journal article·2021-07Open access

Random Telegraph Noise in Metal‐Oxide Memristors for True Random Number Generators: A Materials Study

Xuehua Li, Tommaso Zanotti, Tao Wang, Kaichen Zhu, Francesco Maria Puglisi, Mario Lanza

Advanced Functional Materials· Volume 31· Issue 27

Abstract

Abstract Some memristors with metal/insulator/metal (MIM) structure have exhibited random telegraph noise (RTN) current signals, which makes them ideal to build true random number generators (TRNG) for advanced data encryption. However, there is still no clear guide on how essential manufacturing parameters like materials selection, thicknesses, deposition methods, and device lateral size can influence the quality of the RTN signal. In this paper, an exhaustive statistical analysis on the quality of the RTN signals produced by different MIM‐like memristors is reported, and straightforward guidelines for the fabrication of memristors with enhanced RTN performance are presented, which are: i) Ni and Ti electrodes show better RTN than Au electrodes, ii) the 50 μm × 50 μm devices show better RTN than the 5 μm × 5 μm ones, iii) TiO2 shows better RTN than HfO2 and Al2O3, iv) sputtered‐oxides show better RTN than ALD‐oxides, and v) 10 nm thick oxides show better RTN than 5 nm thick oxides. The RTN signals recorded have been used as entropy sources in high‐throughput TRNG circuits, which have passed the randomness tests of the National Institute of Standards and Technology. The work can serve as a useful guide for materials scientists and electronic engineers when fabricating MIM‐like memristors for RTN applications.
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Research context

OpenAlex topics: Advanced Memory and Neural Computing · Ferroelectric and Negative Capacitance Devices · Physical Unclonable Functions (PUFs) and Hardware Security

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Institute of Functional Nano and Soft Materials Collaborative Innovation Center of Suzhou Nanoscience & Technology Soochow University 199 Ren‐Ai Road Suzhou 215123 China

Dipartimento di Ingegneria “Enzo Ferrari” Università di Modena e Reggio Emilia Modena 41125 Italy

Department of Electronic and Biomedical Engineering Universitat de Barcelona Martí i Franquès 1 Barcelona E‐08028 Spain

Physical Sciences and Engineering Division King Abdullah University of Science and Technology (KAUST) Thuwal 23955‐6900 Saudi Arabia

Funding

National Natural Science Foundation of China · Priority Academic Program Development of Jiangsu Higher Education Institutions · State Administration of Foreign Experts Affairs · Collaborative Innovation Center of Suzhou Nano Science and Technology · Ministry of Science and Technology of the People's Republic of China

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