Chrome Extension
WeChat Mini Program
Use on ChatGLM

Laser-assisted Preparation of Vertically Aligned Reduced Graphene Oxide/tannic Acid Arrays for Flexible Aqueous Zinc-Ion Hybrid Capacitors

Applied Surface Science(2024)

Key Laboratory of New Processing Technology for Nonferrous Metal and Materials (Ministry of Education) | Department of Machine Intelligence and Systems Engineering

Cited 0|Views13
Abstract
Aqueous zinc-ion hybrid capacitors (AZHCs) are considered an encouraging energy storage candidate owing to their promising environmental benignity and electrochemical performance. To give full play to the advantages of AZHCs, vertically aligned reduced graphene oxide/tannic acid (V-rGO/TA) arrays are constructed on the laserpretreated graphite paper (LGP) as flexible carbon-based cathodes (V-rGO/TA/LGP) for AZHCs by a facile laser reduction method. The vertical structure of rGO exhibits abundant physical adsorption sites and ion/electron transfer channels, and the residual oxygen-containing groups of rGO provide favored chemical adsorption sites, which can enhance Zn2+ ion storage. In addition, the TA molecules contribute extra capacity by reversible redox reaction (phenol-quinone transition), further improving the electrochemical performance of the electrode. Consequently, the assembled quasi-solid-state AZHC based on the optimized V-rGO/TA/LGP cathode possesses a high specific capacity of 136.6 mu Ah cm-2 and a maximum energy density of 109.3 mu Wh cm-2. In addition, the device exhibits good flexibility with a capacity retention of 97.0 % even after 3000 bending cycles. This design strategy opens up a new approach to construct a vertically aligned carbon material for achieving highperformance flexible AZHCs and realizing their practical applications.
More
Translated text
Key words
Flexible zinc-ion hybrid capacitors,Carbon materials,Vertical alignment,Tannic acid,Laser assistance
求助PDF
上传PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Related Papers
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper

要点】:论文提出了一种利用激光辅助法制备垂直排列的还原氧化石墨烯/丹宁酸阵列,用于柔性水系锌离子混合电容器的碳基阴极,实现了高性能的电极材料和器件。

方法】:通过激光还原法在预处理过的石墨纸上构造垂直排列的还原氧化石墨烯/丹宁酸阵列。

实验】:在优化的实验条件下,基于V-rGO/TA/LGP阴极的准固态AZHC电容器展示了136.6 μAh cm^-2的高比容量和109.3 μWh cm^-2的最大能量密度,并在3000次弯曲循环后电容保持率为97.0%。使用的数据集为实验中制备的电极材料和测试结果。