Configurable kinetics of polarization switching via ion migration in ferroionic CuInP2S6
Ferroelectric materials are promising for developing non-volatile memory, neuromorphic computing, and photovoltaic technologies. Taking advantage of variable switching kinetics provides an important strategy for designing multifunctional ferroelectric devices. However, the conventional ferroelectrics due to the unmovable atomic species generally own a single switching kinetics, thus versatile and configurable switching kinetics still remain challenging. In this work, we systematically investigate the switching kinetics of the van der Waals ferroionic CuInP<sub>2</sub>S<sub>6</sub> through polarization-determined ferroelectric photovoltaic behaviors. Based on the time- and field-dependent polarization switching and numerical simulation, we discover three switching modes, including intralayer switching, interlayer switching and intralayer-interlayer coupling switching in CuInP<sub>2</sub>S<sub>6</sub>. Through designing the poling voltage amplitude and width, we achieve the configurable kinetic control of polarization switching in CuInP<sub>2</sub>S<sub>6</sub>, enabling tunable binary, gradual and accumulative switching with defined poling voltages in a single device. The work demonstrated here is instructive for the development of nanoscale multifunctional ferroelectric devices.
Authors
- Er Pan (ORCID: https://orcid.org/0009-0004-0319-6763)
- Guiming Cao (ORCID: https://orcid.org/0000-0002-3757-4740)
- Fucai Liu (ORCID: https://orcid.org/0000-0003-1275-0573)
- Wenwu Li (ORCID: https://orcid.org/0000-0002-9307-1566)
- Xiao Luo (ORCID: https://orcid.org/0000-0002-2561-6114)
- Qing Liu (ORCID: https://orcid.org/0000-0003-3937-6251)
- Biao Dong (ORCID: https://orcid.org/0000-0002-5991-1867)
- Jiangang Chen (ORCID: https://orcid.org/0000-0002-3627-3372)
- Ruixue Wang (ORCID: https://orcid.org/0000-0002-1347-8818)
- Xiong Chen (ORCID: https://orcid.org/0000-0003-3008-2847)
- Liuping Liang (ORCID: https://orcid.org/0000-0003-3712-7278)
- Yongfa Kong
Institutions
- University of Electronic Science and Technology of China (CN)
- Nankai University (CN)
- Fudan University (CN)
- Chang'an University (CN)
- National Engineering Research Center of Electromagnetic Radiation Control Materials (CN)
- China XD Group (China) (CN)
- Xi'an Jiaotong University (CN)
Publication Details
- Journal
- Nature Communications
- Published
- 2025-05-14
- DOI
- https://doi.org/10.1038/s41467-025-59697-z
- Citations
- 13
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 9.50
Funders
- National Natural Science Foundation of China
- University of Electronic Science and Technology of China