Piezopotential-Programmed Multilevel Nonvolatile Memory As Triggered by Mechanical Stimuli

Qijun Sun, Dong Hae Ho, Yongsuk Choi, Caofeng Pan, Do Hwan Kim, Zhong Lin Wang, Jeong Ho Cho

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

We report the development of a piezopotential-programmed nonvolatile memory array using a combination of ion gel-gated field-effect transistors (FETs) and piezoelectric nanogenerators (NGs). Piezopotentials produced from the NGs under external strains were able to replace the gate voltage inputs associated with the programming/erasing operation of the memory, which reduced the power consumption compared with conventional memory devices. Multilevel data storage in the memory device could be achieved by varying the external bending strain applied to the piezoelectric NGs. The resulting devices exhibited good memory performance, including a large programming/erasing current ratio that exceeded 103, multilevel data storage of 2 bits (over 4 levels), performance stability over 100 cycles, and stable data retention over 3000 s. The piezopotential-programmed multilevel nonvolatile memory device described here is important for applications in data-storable electronic skin and advanced human-robot interface operations.

Original languageEnglish
Pages (from-to)11037-11043
Number of pages7
JournalACS Nano
Volume10
Issue number12
DOIs
Publication statusPublished - 2016 Dec 27

All Science Journal Classification (ASJC) codes

  • Materials Science(all)
  • Engineering(all)
  • Physics and Astronomy(all)

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