Reconfigurable dielectric engineered WSe<sub>2</sub>/HZO mem-transistor
Abstract Hybrid systems coupling two-dimensional (2D) semiconductors with functional ferroelectrics are attracting increasing attention owing to their excellent electronic/optoelectronic properties and new functionalities through the multiple heterointerface interactions. In our device architecture, interfacial states are introduced on the ferroelectric Hf 0.5 Zr 0.5 O 2 thin film as a gate dielectric layer for the charge trapping effect. Utilizing the collaborative effects of charge trapping and ferroelectric polarization behavior, a multifunctional 2D WSe 2 /HZO memtransistor is demonstrated with an ultra-low off-state (dark) current of 10 −13 A, high on/off ratio of 10 6 and linear conductance update. This device exhibits reliable memory properties and tunable synaptic functions including short-term plasticity/long-term plasticity, paired pulse facilitation, spike-timing dependent plasticity, synaptic potentiation/depression, and filtering in a single device. Extensive endurance tests ensure robust stability (1000 switching cycles, 2000 s holding time) and the synaptic weight update in the device exhibits excellent linearity. Based on the experimental data, our devices eventually achieve an accuracy of 94.8% in artificial neural network simulations. These results highlight a new approach for constructing hybrid systems coupling 2D semiconductors with functional ferroelectrics in a single device to tune synaptic weight, optimize circuit design, and build artificial neuromorphic computing systems.
Authors
- Yongli He (ORCID: https://orcid.org/0000-0002-5607-4194)
- Kan Liao
- Tong Tong (ORCID: https://orcid.org/0000-0002-9988-1295)
- Yuan Gao (ORCID: https://orcid.org/0000-0003-1910-0071)
- Weisheng Li (ORCID: https://orcid.org/0000-0002-3462-1257)
- Y N Liu
Institutions
- Nanyang Technological University (SG)
Publication Details
- Journal
- 2D Materials
- Published
- 2024-08-19
- DOI
- https://doi.org/10.1088/2053-1583/ad70c9
- Citations
- 2
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.42
Funders
- National Natural Science Foundation of China
- Government of Jiangsu Province
- Natural Science Foundation of Jiangsu Province