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

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

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.

Original languageEnglish
Pages (from-to)2380-2388
Number of pages9
JournalACS Applied Electronic Materials
Volume3
Issue number5
DOIs
StatePublished - 25 May 2021
Externally publishedYes

Keywords

  • artificial intelligence
  • cryptography
  • ionic liquid
  • memristor
  • true random number generator

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