journal article·2021-05-25

A True Random Number Generator Based on Ionic Liquid Modulated Memristors

Bai Sun, Shubham Ranjan, Guangdong Zhou, Tao Guo, Cheng Du, Lan Wei, Y. Norman Zhou, Yimin A. Wu

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Abstract

The memristor-based neuromorphic computing application, which is highly flexible and capable of handling large amounts of parallel information, is one of the major breakthroughs in the past decade. It sheds light on future high-density storage, ultrafast logic computing systems, advanced artificial intelligence, etc. To explore the applications based on memristive devices, a memristive device using an indium–gallium–zinc oxide (IGZO)–TiO2 bilayer film as the functional layer is demonstrated. Its memristive behavior can be modulated by diethylmethyl(2-methoxyethyl)ammonium bis(trifluoromethylsulfonyl)imide (DEME-TFSI) ionic liquid (IL). Further, a true random number generator was designed on the basis of eight memristive units. This work demonstrates that ionic liquid regulated memristors can not only be used for data storage but also open up potential applications for cryptography.
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Research context

OpenAlex topics: Advanced Memory and Neural Computing · Photoreceptor and optogenetics research · Neural dynamics and brain function

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

Affiliations

Department of Mechanical and Mechatronics Engineering, Waterloo Institute for Nanotechnology, Centre for Advanced Materials Joining, University of Waterloo,Waterloo, Ontario N2L 3G1, Canada

School of Physical Science and Technology, Key Laboratory of Advanced Technology of Materials (Ministry of Education of China), Southwest Jiaotong University, Chengdu, Sichuan 610031, China

Department of Electrical and Computer Engineering, Waterloo Institute for Nanotechnology, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada

School of Artificial Intelligence, Southwest University, Chongqing 400715, China

Funding

Canada Research Chairs · Department of Science and Technology of Sichuan Province · Natural Sciences and Engineering Research Council of Canada

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