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Microcrack Arrays in Dense Graphene Films for Fast-Ion-Diffusion Supercapacitors.

Congming LiXiangming LiGangqiang LiuWei YuZhengjie YangLiang WangChao WangQingzhen YangRonglin XiaoFei HuangHongmiao TianChunhui WangXiaoliang ChenJinyou Shao
Published in: Small (Weinheim an der Bergstrasse, Germany) (2023)
Laminated graphene film has great potential in compact high-power capacitive energy storage owing to the high bulk density and opened architecture. However, the high-power capability is usually limited by tortuous cross-layer ion diffusion. Herein, microcrack arrays are fabricated in graphene films as fast ion diffusion channels, converting tortuous diffusion into straightforward diffusion while maintaining a high bulk density of 0.92 g cm -3 . Films with optimized microcrack arrays exhibit sixfold improved ion diffusion coefficient and high volumetric capacitance of 221 F cm -3 (240 F g -1 ), representing a critical breakthrough in optimizing ion diffusion toward compact energy storage. This microcrack design is also efficient for signal filtering. Microcracked graphene-based supercapacitor with 30 µg cm -2  mass loading exhibits characteristic frequency up to 200 Hz with voltage window up to 4 V, showing high promise for compact, high-capacitance alternating current (AC) filtering. Moreover, a renewable energy system is conducted using microcrack-arrayed graphene supercapacitors as filter-capacitor and energy buffer, filtering and storing the 50 Hz AC electricity from a wind generator into the constant direct current, stably powering 74 LEDs, demonstrating enormous potential in practical applications. More importantly, this microcracking approach is roll-to-roll producible, which is cost-effective and highly promising for large-scale manufacture.
Keyphrases
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  • reduced graphene oxide
  • deep learning
  • computed tomography
  • machine learning
  • artificial intelligence
  • ionic liquid
  • big data