Ferroelectric domain-wall logic units

Jing Wang, Jing Ma, Houbing Huang (), Ji Ma, Hasnain Mehdi Jafri, Yuanyuan Fan, Huayu Yang, Yue Wang, Mingfeng Chen, Di Liu, Jinxing Zhang, Yuan-Hua Lin, Long-Qing Chen, Di Yi and Ce-Wen Nan ()
Additional contact information
Jing Wang: Beijing Institute of Technology
Jing Ma: Tsinghua University
Houbing Huang: Beijing Institute of Technology
Ji Ma: Tsinghua University
Hasnain Mehdi Jafri: Beijing Institute of Technology
Yuanyuan Fan: Beijing Institute of Technology
Huayu Yang: Beijing Institute of Technology
Yue Wang: Tsinghua University
Mingfeng Chen: Tsinghua University
Di Liu: Beijing Institute of Technology
Jinxing Zhang: Beijing Normal University
Yuan-Hua Lin: Tsinghua University
Long-Qing Chen: Pennsylvania State University
Di Yi: Tsinghua University
Ce-Wen Nan: Tsinghua University

Nature Communications, 2022, vol. 13, issue 1, 1-8

Abstract: Abstract The electronic conductivities of ferroelectric domain walls have been extensively explored over the past decade for potential nanoelectronic applications. However, the realization of logic devices based on ferroelectric domain walls requires reliable and flexible control of the domain-wall configuration and conduction path. Here, we demonstrate electric-field-controlled stable and repeatable on-and-off switching of conductive domain walls within topologically confined vertex domains naturally formed in self-assembled ferroelectric nano-islands. Using a combination of piezoresponse force microscopy, conductive atomic force microscopy, and phase-field simulations, we show that on-off switching is accomplished through reversible transformations between charged and neutral domain walls via electric-field-controlled domain-wall reconfiguration. By analogy to logic processing, we propose programmable logic gates (such as NOT, OR, AND and their derivatives) and logic circuits (such as fan-out) based on reconfigurable conductive domain walls. Our work might provide a potentially viable platform for programmable all-electric logic based on a ferroelectric domain-wall network with low energy consumption.

Date: 2022
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DOI: 10.1038/s41467-022-30983-4

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