Chrome Extension
WeChat Mini Program
Use on ChatGLM

Simultaneously Constructing Solid Cathode/anode-Electrolyte Interphase by Anions Decomposition in Aqueous Zn Battery

Chaoqiong Zhu,Hao Ruan, Limin Zheng, Xiaodong Dong,Zewei Pu,Fang Wan,Xiaodong GuoTop Scholar

Chemical Engineering Journal(2025)SCI 1区

Sichuan Univ | Xizang Autonomous Reg Energy Res Demonstrat Ctr

Cited 0|Views2
Abstract
Aqueous Zn batteries exhibit enormous potential in large-scale energy storage. However, complex interfacial side reactions between electrode and electrolyte fast deteriorate the electrochemical performance. Directly constructing solid electrode-electrolyte interphase is an effective strategy to enhance the interface stability, while it is difficult to form solid electrode-electrolyte interphase in conventional electrolytes. Herein, propylene carbonate was introduced into water-in-salts electrolytes to regulate Zn2+ solvation structure, which reduces the HOMO and LUMO energy gap of Zn2+ solvation complexes. As a result, anion-derived cathode-electrolyte interphase (CEI) and anode-electrolyte interphase (SEI) are formed simultaneously. Assembled Zn||Zn symmetrical cell achieves high cycling stability over 9000 h at 8 mA cm- 2 with 8 mAh cm- 2 . Moreover, Zn||Alx- V2O5 & sdot;nH2O battery displays excellent cycling performance at low current density (capacity retention rate of 92 %/94 % after 400/1300 cycles of 0.2/0.5 A g- 1 ). This work provides a simple and effective strategy to simultaneously construct CEI layer and SEI layer, achieving long life aqueous Zn batteries.
More
Translated text
Key words
Aqueous Zn batteries,Solid electrode-electrolyte interphase,Solvation structure,Low current density
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
Storm W. D. Gourley, Ryan Brown, Brian D. Adams,Drew Higgins
2023

被引用133 | 浏览

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】:本文提出了一种通过引入丙ylene carbonate调节Zn2+溶剂化结构,在水中溶解盐电解质中同时构建固态阴极/阳极-电解质界面相(CEI和SEI),从而显著提升水系锌电池界面稳定性和电化学性能的创新方法。

方法】:作者通过向水-in-salts电解质中加入丙ylene carbonate,调整Zn2+的溶剂化结构,减小了Zn2+溶剂化复合物的HOMO和LUMO能量差,从而实现了同时形成由阴离子分解产生的CEI和SEI层。

实验】:实验中使用Zn||Zn对称电池,在8 mA cm−2的电流密度下,电池展现了超过9000小时的循环稳定性,并且Zn||AlxV2O5·nH2O电池在0.2/0.5 A g−1的低电流密度下,分别经过400/1300次循环后容量保持率为92 %/94 %。数据集名称未在论文摘要中提及。