In-Memory Computing of Multilevel Ferroelectric Domain Wall Diodes at LiNbO3 Interfaces

Jie Sun, Yiming Li, Yangjun Ou, Qianwei Huang, Xiaozhou Liao, Zibin Chen, Xiaojie Chai, Xiao Zhuang, Wendi Zhang, Chao Wang, Jun Jiang, Anquan Jiang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

24 Citations (Scopus)

Abstract

Direct data processing in nonvolatile memories can enable area- and energy-efficient computation, unlike independent performance between separate processing and memory units; repetitive data transfer between these units represents a fundamental performance limitation in modern computers. Spatially mobile conducting domain walls in ferroelectrics can be redirected between drain, gate, and source electrodes to function as nonvolatile transistors with superior energy efficiency, ultrafast operating and communication speeds, and high logic/storage densities. Here, in-memory computing is demonstrated using multilevel domain wall diodes at LiNbO3 interfaces. Ultrathin domains within interfacial layers between each mesa-like memory cell and the contact electrodes can rectify diode-like domain wall currents with on/off current ratios exceeding 107 at low operating voltages, surpassing the performance of traditional p-n junctions using built-in potentials across depletion layers. NOT, NAND, and NOR gate logic functions are demonstrated, providing insights into high-density integration of multilevel storage and computational units in all-ferroelectric domain wall devices.

Original languageEnglish
Article number2207418
Number of pages9
JournalAdvanced Functional Materials
Volume32
Issue number49
DOIs
Publication statusPublished - 2 Dec 2022

Keywords

  • diodes
  • ferroelectric domain wall
  • in-memory computing
  • interfacial layers

ASJC Scopus subject areas

  • General Chemistry
  • General Materials Science
  • Condensed Matter Physics

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