High-Performance Proton Field-Effect Transistor Based on Two-Dimensional Cd Vacancy-Resided Cd<sub>0.85</sub>PS<sub>3</sub>Li<sub>0.15</sub>H<sub>0.15</sub>
Ion transport is a critical phenomenon underpinning numerous biological, physical, and chemical systems. Proton transistors leveraging proton transport face significant limitations, such as a low on-off ratio and deficient carrier mobility, which restrict their applicability in biological and other scenarios. This study explores the use of two-dimensional (2D) vacancy-residing transition metal phosphorus trichallcogenide-based membranes as the active layer for proton field-effect transistors. The synthesized Cd<sub>0.85</sub>PS<sub>3</sub>Li<sub>0.15</sub>H<sub>0.15</sub> membrane exhibits a well-organized layered structure and high hydrophilicity, with nanometer-sized interlayers containing interconnected water networks. These distinct features facilitate proton conduction, leading to a high proton conductivity value of 0.83 S cm<sup>-1</sup> at 98% relative humidity and 90 °C, with an activation energy of 0.26 eV. The Cd<sub>0.85</sub>PS<sub>3</sub>Li<sub>0.15</sub>H<sub>0.15</sub>-based proton transistor demonstrates tunability via gate voltage, thereby enabling effective modulation of proton flow across source and drain electrodes. The transistor notably showcases superior switching characteristics, with an on/off ratio surpassing 5.51 and a carrier mobility of 8.84 × 10<sup>-2</sup> cm<sup>2</sup> V<sup>-1</sup> s<sup>-1</sup>. The underlying mechanism for this performance enhancement is attributed to electric-field-induced switching in Cd vacancies. This research boosts the development of highly versatile ionotropic devices by introducing advanced 2D ion-conductive membranes.
Authors
- Wenhao Shi (ORCID: https://orcid.org/0009-0006-3855-0464)
- Xitang Qian (ORCID: https://orcid.org/0000-0001-9950-5217)
- Chenhui Huang (ORCID: https://orcid.org/0000-0002-5516-1982)
- Lei Ye (ORCID: https://orcid.org/0000-0001-5195-1867)
- Meng Zhang (ORCID: https://orcid.org/0000-0002-9302-4057)
- Xiangshui Miao (ORCID: https://orcid.org/0000-0002-3999-7421)
- Chuankai Zou
Institutions
- Hong Kong University of Science and Technology (HK)
- Huazhong University of Science and Technology (CN)
- University of Hong Kong (HK)
- University of South China (CN)
Publication Details
- Journal
- ACS Nano
- Published
- 2024-08-15
- DOI
- https://doi.org/10.1021/acsnano.4c03649
- Citations
- 1
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.21
Funders
- National Natural Science Foundation of China
- University of South China
- National Key Research and Development Program of China