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Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
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Entropy-Driven Cellulosic Elastomer Self-Assembly for Mechanical Energy Harvesting and Self-Powered Sensing
Pinle Zhang1, Yingping He1, Huancheng Huang1
1Guangxi Key Laboratory of Clean Pulp & Papermaking and Pollution Control, School of Light Industry and Food Engineering, Guangxi University, Nanning, 530004, People's Republic of China.
Abstract:
The rapid advancement of flexible electronics technology has placed higher demands on the structural design and performance regulation of elastic materials. Cellulosic elastomers, with their biodegradability, renewability, and tunability, emerge as ideal candidate materials. Entropy-driven self-assembly promotes the spontaneous formation of ordered structures, serving as a crucial pathway for optimizing cellulose elastomer properties. However, the structure-property relationship between the self-assembled ordered structures of cellulose elastomers and their mechanical and electrical properties remains insufficiently explored. It hinders the expansion of their applications in electronic devices. This paper systematically reviews the structure-property regulation mechanisms of self-assembled cellulosic elastomers from an entropy-driven perspective. It elucidates the application principles and performance optimization strategies for mechanical energy harvesting and self-powered sensing, while also exploring the challenges and prospects for performance enhancement. This work provides a reference for the development of self-assembled cellulosic elastomers in the field of energy devices.
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