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.

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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

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article

Reconfigurable dielectric engineered WSe2/HZO mem-transistor

Yongli He, Kan Liao, Tong Tong, Yuan Gao et al.
2 citations
2D Materials
Advanced Memory and Neural Computing
0.42
article

Reconfigurable dielectric engineered WSe2/HZO mem-transistor

Yongli He, Kan Liao, Tong Tong, Yuan Gao, Weisheng Li, Y N Liu
article en
2 citations

Abstract

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.

2D MaterialsVol. 11(4)
Nanyang Technological University (SG)
National Natural Science Foundation of China, Government of Jiangsu Province, Natural Science Foundation of Jiangsu Province
Affordable and clean energy
Openalex Percentile: Top 39%
Advanced Memory and Neural Computing
0.42
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Reconfigurable dielectric engineered WSe<sub>2</sub>/HZO mem-transistor — Yongli He, Kan Liao, et al. · 2D Materials (2024) | TGRS Research Map | TGRS