用于危险信息检测系统的鲁棒掺碳黑磷多感知忆阻器

Brain-X Pub Date : 2025-10-04 DOI:10.1002/brx2.70026
Shuai Yuan, Zhe Feng, Guodong Wei, Liyan Dong, Pan Wang, Yong Niu, Ying Su, Peifen Zhu, Bingshe Xu, Bocang Qiu, Zuheng Wu
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引用次数: 0

摘要

对危险信息的感知是确保安全生产的关键因素。近年来,多模式感知已被证明是开发高效感知系统的有效途径。然而,这些系统仍然依赖于传统冯·诺依曼体系结构中单一功能传感器的各种组合,这增加了系统的整体复杂性。本研究成功开发了基于碳掺杂黑磷(C-BP)的多感知忆阻器,用于危险信息感知。由于C掺杂的耦合和协同作用,C - bp多感知忆阻器具有良好的稳定性和高的表面活性。它的高表面活性使其能够在开放环境中可靠地感知有害的视觉(紫外线)和嗅觉(乙醇、丙酮和人类呼气)信息。在此基础上,对基于C-BP多感知忆阻器的危险检测系统进行了仿真。结果表明,开发的系统在感知危险信息方面优于传统的检测系统,其识别率(97.6%对90.5%)有所提高。这项工作可能为开发高性能危险信息感知系统提供新的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Robust carbon-doped black phosphorus multi-perception memristor for a hazardous information detection system

Robust carbon-doped black phosphorus multi-perception memristor for a hazardous information detection system

The perception of hazardous information is a crucial factor in ensuring safety in production. In recent years, multi-mode sensing has been proven to be an effective approach for developing efficient perception systems. However, these systems still rely on various combinations of single-function sensors within traditional von Neumann architecture, which increases the system's overall complexity. In this study, carbon-doped black phosphorus (C–BP)-based multi-perception memristors were successfully developed for hazardous information perception. The C–BP multi-perception memristor exhibits remarkable stability and high surface activity due to the coupling and synergistic effects of C doping. Its high surface activity enables the reliable perception of hazardous visual (ultraviolet light) and olfactory (ethanol, acetone, and human expirations) information in an open environment. Consequently, a hazardous detection system based on the C–BP multi-perception memristor was simulated. The results indicate that the developed system outperforms traditional detection systems with an enhanced performance rate (97.6% vs. 90.5%) in perceiving hazardous information. This work may provide new insights into developing enhanced-performance hazardous information perception systems.

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