@article{Hussain_Lamiel_Sahoo_Javed_Ahmad_Chen_Gu_Qin_Assiri_Zhang_2022, title={Animal- and Human-Inspired Nanostructures as Supercapacitor Electrode Materials: A Review}, volume={14}, url={https://nmlett.org/index.php/nml/article/view/1195}, DOI={10.1007/s40820-022-00944-z}, abstractNote={<p>Human civilization has been relentlessly inspired by the nurturing lessons; nature is teaching us. From birds to airplanes and bullet trains, nature gave us a lot of perspective in aiding the progress and development of countless industries, inventions, transportation, and many more. Not only that nature inspired us in such technological advances but also, nature stimulated the advancement of micro- and nanostructures. Nature-inspired nanoarchitectures have been considered a favorable structure in electrode materials for a wide range of applications. It offers various positive attributes, especially in energy storage applications, such as the formation of hierarchical two-dimensional and three-dimensional interconnected networked structures that benefit the electrodes in terms of high surface area, high porosity and rich surface textural features, and eventually, delivering high capacity and outstanding overall material stability. In this review, we comprehensively assessed and compiled the recent advances in various nature-inspired based on animal- and human-inspired nanostructures used for supercapacitors. This comprehensive review will help researchers to accommodate nature-inspired nanostructures in industrializing energy storage and many other applications.</p> <p>Highlights:</p> <p>1 Animal- and human-inspired nanostructures as supercapacitor electrode materials are summarized.<br>2 Structural formation and supercapacitive electrochemical applications are comprehensively summarized.<br>3 Future outlooks such as large-scale production and other properties are proposed.</p>}, journal={Nano-Micro Letters}, author={Hussain, Iftikhar and Lamiel, Charmaine and Sahoo, Sumanta and Javed, Muhammad Sufyan and Ahmad, Muhammad and Chen, Xi and Gu, Shuai and Qin, Ning and Assiri, Mohammed A. and Zhang, Kaili}, year={2022}, month={Oct.}, pages={199} }