Scalable Layer‐Controlled Oxidation of Bi<sub>2</sub>O<sub>2</sub>Se for Self‐Rectifying Memristor Arrays With sub‐pA Sneak Currents
Smart memristors with innovative properties are crucial for the advancement of next-generation information storage and bioinspired neuromorphic computing. However, the presence of significant sneak currents in large-scale memristor arrays results in operational errors and heat accumulation, hindering their practical utility. This study successfully synthesizes a quasi-free-standing Bi<sub>2</sub>O<sub>2</sub>Se single-crystalline film and achieves layer-controlled oxidation by developing large-scale UV-assisted intercalative oxidation, resulting β-Bi<sub>2</sub>SeO<sub>5</sub>/Bi<sub>2</sub>O<sub>2</sub>Se heterostructures. The resulting β-Bi<sub>2</sub>SeO<sub>5</sub>/Bi<sub>2</sub>O<sub>2</sub>Se memristor demonstrates remarkable self-rectifying resistive switching performance (over 10<sup>5</sup> for ON/OFF and rectification ratios, as well as nonlinearity) in both nanoscale (through conductive atomic force microscopy) and microscale (through memristor array) regimes. Furthermore, the potential for scalable production of self-rectifying β-Bi<sub>2</sub>SeO<sub>5</sub>/Bi<sub>2</sub>O<sub>2</sub>Se memristor, achieving sub-pA sneak currents to minimize cross-talk effects in high-density memristor arrays is demonstrated. The memristors also exhibit ultrafast resistive switching (sub-100 ns) and low power consumption (1.2 pJ) as characterized by pulse-mode testing. The findings suggest a synergetic effect of interfacial Schottky barriers and oxygen vacancy migration as the self-rectifying switching mechanism, elucidated through controllable β-Bi<sub>2</sub>SeO<sub>5</sub> thickness modulation and theoretical ab initio calculations.
Authors
- Zhefeng Lou (ORCID: https://orcid.org/0000-0001-6764-0318)
- Xiaorui Zheng (ORCID: https://orcid.org/0000-0002-6672-1092)
- Haoting Ying
- Zishun Li (ORCID: https://orcid.org/0000-0001-9222-5888)
- Mengqi Wu (ORCID: https://orcid.org/0000-0001-9403-1745)
- Tao Wang (ORCID: https://orcid.org/0000-0002-4294-9690)
- Wenbin Li (ORCID: https://orcid.org/0000-0002-1240-2707)
- Xiao Lin (ORCID: https://orcid.org/0000-0002-1773-1761)
- Yingjie Zhao (ORCID: https://orcid.org/0000-0002-2668-3722)
- Zhuokai Xu
- Jiaming Hu (ORCID: https://orcid.org/0000-0001-7412-133X)
- Minghao An (ORCID: https://orcid.org/0009-0001-0684-9131)
- Lanxin Xu
- Zhe Chen (ORCID: https://orcid.org/0009-0005-2285-2890)
Institutions
- Westlake University (CN)
Publication Details
- Journal
- Advanced Materials
- Published
- 2024-09-09
- DOI
- https://doi.org/10.1002/adma.202406608
- Citations
- 31
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 6.47
Funders
- Westlake University
- National Natural Science Foundation of China
- Natural Science Foundation of Zhejiang Province