2D Reconfigurable Memory Device Enabled by Defect Engineering for Multifunctional Neuromorphic Computing.

Xia, Yunpeng; Lin, Ning; Zha, Jiajia; Huang, Haoxin; Zhang, Yiwen; Liu, Handa; Tong, Jinyi; Xu, Songcen et al. · Adv Mater · 2024

basic_science · Level V

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Abstract

In this era of artificial intelligence and Internet of Things, emerging new computing paradigms such as in-sensor and in-memory computing call for both structurally simple and multifunctional memory devices. Although emerging two-dimensional (2D) memory devices provide promising solutions, the most reported devices either suffer from single functionalities or structural complexity. Here, this work reports a reconfigurable memory device (RMD) based on MoS<sub>2</sub>/CuInP<sub>2</sub>S<sub>6</sub> heterostructure, which integrates the defect engineering-enabled interlayer defects and the ferroelectric polarization in CuInP<sub>2</sub>S<sub>6</sub>, to realize a simplified structure device for all-in-one sensing, memory and computing. The plasma treatment-induced defect engineering of the CuInP<sub>2</sub>S<sub>6</sub> nanosheet effectively increases the interlayer defect density, which significantly enhances the charge-trapping ability in synergy with ferroelectric properties. The reported device not only can serve as a non-volatile electronic memory device, but also can be reconfigured into optoelectronic memory mode or synaptic mode after controlling the ferroelectric polarization states in CuInP<sub>2</sub>S<sub>6</sub>. When operated in optoelectronic memory mode, the all-in-one RMD could diagnose ophthalmic disease by segmenting vasculature within biological retinas. On the other hand, operating as an optoelectronic synapse, this work showcases in-sensor reservoir computing for gesture recognition with high energy efficiency.