NiO/ZnO Nanocomposites for Multimodal Intelligent MEMS Gas Sensors

Gas sensor arrays designed for pattern recognition face persistent challenges in achieving high sensitivity and selectivity for multiple volatile organic compounds (VOCs), particularly under varying environmental conditions. To address these limitations, we developed multimodal intelligent MEMS gas...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Jiaqing Zhu (9327641) (author)
مؤلفون آخرون:	Lechen Chen (20927310) (author), Wangze Ni (19696451) (author), Weiwei Cheng (582223) (author), Zhi Yang (124104) (author), Shusheng Xu (3109404) (author), Tao Wang (12008) (author), Bowei Zhang (334192) (author), Fuzhen Xuan (5859824) (author)
منشور في:	2025
الموضوعات:	Medicine Molecular Biology Neuroscience Space Science Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified varying environmental conditions odor analysis tools different operating temperatures achieving high sensitivity combining material optimization vocs ), particularly world vocs detection quantitative detection demonstrating material zno nanocomposites zno components results showcase precisely tailoring nanocomposite ratio ethylene glycol advanced algorithms accurately predicting
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NiO/ZnO Nanocomposites for Multimodal Intelligent MEMS Gas Sensors

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