| Literature DB >> 32492337 |
Ki Chang Kwon1,2, Yishu Zhang2, Lin Wang2, Wei Yu2, Xiaojie Wang2, In-Hyeok Park2, Hwa Seob Choi1,2, Teng Ma2, Ziyu Zhu2, Bingbing Tian1, Chenliang Su1, Kian Ping Loh1,2.
Abstract
Two-dimensional ferroelectrics is attractive for synaptic device applications because of its low power consumption and amenability to high-density device integration. Here, we demonstrate that tin monosulfide (SnS) films less than 6 nm thick show optimum performance as a semiconductor channel in an in-plane ferroelectric analogue synaptic device, whereas thicker films have a much poorer ferroelectric response due to screening effects by a higher concentration of charge carriers. The SnS ferroelectric device exhibits synaptic behaviors with highly stable room-temperature operation, high linearity in potentiation/depression, long retention, and low cycle-to-cycle/device-to-device variations. The simulated device based on ferroelectric SnS achieves ∼92.1% pattern recognition accuracy in an artificial neural network simulation. By switching the ferroelectric domains partially, multilevel conductance states and the conductance ratio can be obtained, achieving high pattern recognition accuracy.Entities:
Keywords: artificial synapse; ferroelectrics; neuromorphic computing; tin monosulfide; two-dimensional materials
Year: 2020 PMID: 32492337 DOI: 10.1021/acsnano.0c03869
Source DB: PubMed Journal: ACS Nano ISSN: 1936-0851 Impact factor: 15.881