Schottky contacts regularized linear regression for signal inconsistency circumvent in resistive gas micro-nanosensors

• Main Authors: Zhao, Yuxin, Su, Yue, Guo, Mengya, Liu, Liqun, Chen, Peng, Song, Anqi, Yu, Wei, Hu, Shi, Zhao, Rongjian, Fang, Zhen, Zhang, Huacheng, Zhao, Yanli, Liang, Wenjie
• Other Authors: School of Physical and Mathematical Sciences
• Format: Article
• Language: English
• Published: 2022
• Subjects: Science::Chemistry; Micro Electro Mechanical Systems; Schottky Contacts
• Online Access: https://hdl.handle.net/10356/159833
• Institution: Nanyang Technological University

In the frontier resistive micro-nano gas sensors, the change rate reliability between the measured quantity and output signals has long been puzzled by the ineluctable device-to-device and run-to-run disparities. Here, a neotype sensing data interpretation method to circumvent these signal inconsist...