Freely Selective Analog and Digital Resistive Switching Behavior of In<sub>2</sub>Se<sub>3</sub> Devices for Storage and Neuromorphic Applications
Abstract Digital storage and analog storage shine in different fields mainly due to their strong stability and high information density, respectively, while the freely selective digital and analog resistance switching applications are a matter of great concern. Here, a multi‐functional device integrated with analog and digital resistive switching behavior in a simple structure is reported, achieving functions of freely selective non‐volatile digital storage, artificial synaptic behavior based on ferroelectric polarization‐inducing analog resistive switching behavior, neural network computing, and reconfigurable logic functions. The non‐volatile digital memory exhibits a low operating voltage (≈1—2 V) and high retention stability (> 2000 s). The analog resistive switching behavior exhibits 128‐level conductance and excellent artificial synaptic performance with a large dynamic range (≈196), high linearity (≈0.84), and low power consumption. The modulation effect of band bending, an often underappreciated yet crucial element, is considered to analyze the mechanisms behind the optimized device performance, further providing support and expansion for the multifunctional applications of In 2 Se 3 devices. Reconfigurable logic functions and an artificial neural network (ANN) with outline learning accuracy (≈89%) for handwritten digit recognition are achieved. This design provides new insights into the analysis of 2D ferroelectric devices and holds great promise for simplified and multi‐functional storage‐computing devices.
Authors
- Zheng Xu (ORCID: https://orcid.org/0000-0001-7773-1539)
- Siying Tian (ORCID: https://orcid.org/0009-0006-4673-1230)
- Weida Hu (ORCID: https://orcid.org/0000-0001-5278-8969)
- Yuanjie Wang (ORCID: https://orcid.org/0000-0003-1646-2878)
- Fengling Chen (ORCID: https://orcid.org/0000-0002-0841-4078)
- Chujun Yin
- Dapeng Sun (ORCID: https://orcid.org/0000-0002-6893-5473)
- Changhao Wang (ORCID: https://orcid.org/0000-0003-1570-9306)
- Chaobo Li (ORCID: https://orcid.org/0000-0001-5666-5907)
- Honghao Wang (ORCID: https://orcid.org/0000-0002-1215-6219)
- Chenxi Gao (ORCID: https://orcid.org/0009-0007-2312-382X)
- Jia Wei
Institutions
- Chinese Academy of Sciences (CN)
- Institute of Microelectronics (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- Advanced Electronic Materials
- Published
- 2024-12-31
- DOI
- https://doi.org/10.1002/aelm.202400734
- Citations
- 2
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.42
Funders
- National Natural Science Foundation of China
- Chinese Academy of Sciences