<i>Supporting data for</i> “Triboelectric Nanogenerators Comprising Single-ion Conducting Materials: Mechanisms and Applications”.

In this thesis, we investigated the mechanism of CE involving ion transfer and electron transfer in the fluorinated ethylene propylene (FEP)/ single-ion conducting material (SICM) pairs and the results show that higher humidity leads to more free ions and higher contribution of ion transfer in the total transferred charges. Furthermore, we developed a novel smart skin using SICM as the triboelectric layer that can sense static pressure and dynamic vibration by triboelectric effect and sense environmental humidity by hygroelectric effect. We also used machine learning to interpret the signals sensed by the smart skin and achieve high accuracy of sensation for different tactile modalities. Our research not only provides new insights into the mechanism of CE that involves ion transfer but also introduces a unique category of triboelectric materials that are single-ion conducting and demonstrates their unique potential applications in self-powered sensors for robotics, prosthetics, healthcare, and intelligent industry.本论文针对氟化乙烯丙烯（fluorinated ethylene propylene, FEP）/单离子导体材料（single-ion conducting material, SICM）体系中涉及离子转移与电子转移的接触带电（contact electrification, CE）机制展开研究，结果表明：环境湿度越高，体系内自由离子数量越多，离子转移在总转移电荷中的贡献占比也越高。此外，本研究以SICM作为摩擦电层（triboelectric layer）开发了一种新型智能皮肤，该器件可通过摩擦电效应（triboelectric effect）感知静压与动态振动，并通过湿电效应（hygroelectric effect）检测环境湿度。本研究还结合机器学习（machine learning）对智能皮肤采集的传感信号进行解析，实现了对不同触觉模态的高精度感知。本研究不仅为涉及离子转移的接触带电机制提供了全新的研究视角，同时也提出了一类独特的单离子导电摩擦电材料，并展示了其在面向机器人技术、假肢修复、医疗健康以及智能工业领域的自供电传感器（self-powered sensors）中的独特应用潜力。