Theoretical Insights into Aqueous Zinc Metal Batteries: Applications of Density Functional Theory and Molecular Dynamics Simulations in Electrolyte Design

Abstract The continuous depletion of fossil fuels and the strong desire to protect the world environment intensify the global demand to achieve sustainable and clean energy. The efficient application of the clean energy is highly dependent on rechargeable batteries. Aqueous zinc metal batteries (AZMBs), well leveraging safe, cost, and performance, emerge as a promising candidate for energy storage. However, AZMBs face many issues in practical applications. Electrolyte engineering is one of the possible solutions to these issues. Along with the intensive experiments, theoretical simulations are widely used to uncover the underlying mechanism in electrolyte engineering. The theoretical calculations used in AZMBs, especially focusing on those related to the bulk electrolyte and the electrode/electrolyte interface are summarized systematically here. The correlation between these calculations and experiment results is discussed at electronic and atomic levels. These calculations not only bridge the gap between theoretical calculations and practical battery performance but also provide potential directions for the electrolyte design in the future.

Authors

Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2025-09-04
DOI
https://doi.org/10.1002/adfm.202513415
Citations
1
Primary Topic
Advanced battery technologies research
Type
article
Field-Weighted Citation Impact
0.73

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Theoretical Insights into Aqueous Zinc Metal Batteries: Applications of Density Functional Theory and Molecular Dynamics Simulations in Electrolyte Design

Jian Hua Yang, Fenglong Zhang, Dexu Kong, Zelong Gong et al.
1 citations
Advanced Functional Materials
Advanced battery technologies research
0.73
article

Theoretical Insights into Aqueous Zinc Metal Batteries: Applications of Density Functional Theory and Molecular Dynamics Simulations in Electrolyte Design

Jian Hua Yang, Fenglong Zhang, Dexu Kong, Zelong Gong, Zhao Qian, Nan Chen, Dongdong Wang
article en
1 citations

Abstract

Abstract The continuous depletion of fossil fuels and the strong desire to protect the world environment intensify the global demand to achieve sustainable and clean energy. The efficient application of the clean energy is highly dependent on rechargeable batteries. Aqueous zinc metal batteries (AZMBs), well leveraging safe, cost, and performance, emerge as a promising candidate for energy storage. However, AZMBs face many issues in practical applications. Electrolyte engineering is one of the possible solutions to these issues. Along with the intensive experiments, theoretical simulations are widely used to uncover the underlying mechanism in electrolyte engineering. The theoretical calculations used in AZMBs, especially focusing on those related to the bulk electrolyte and the electrode/electrolyte interface are summarized systematically here. The correlation between these calculations and experiment results is discussed at electronic and atomic levels. These calculations not only bridge the gap between theoretical calculations and practical battery performance but also provide potential directions for the electrolyte design in the future.

Advanced Functional MaterialsVol. 36(10)
Shandong University (CN), Kementerian Pendidikan Malaysia (MY)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province
Openalex Percentile: Top 24%
Advanced battery technologies research
0.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.