Advanced Electrochemical Materials for Energy Storage Devices
A special issue of Inorganics (ISSN 2304-6740). This special issue belongs to the section "Inorganic Solid-State Chemistry".
Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 400
Special Issue Editor
Interests: new energy materials and devices; nanometer energy materials
Special Issue Information
Dear Colleagues,
Electrochemical energy storage devices are crucial for efficient energy storage and utilization. Advanced electrochemical materials are key to improving their performance, capacity, and lifespan. This special issue showcases recent breakthroughs in advanced electrochemical materials, encompassing electrode materials, electrolytes, interfaces, and device. And comprises a collection of original research articles and critical reviews focusing on the synthesis, characterization, and electrochemical performance evaluation of advanced materials. The emphasis is placed on gaining insights into essential aspects such as charge transfer mechanisms, ion diffusion kinetics, and stability. To achieve this, state-of-the-art techniques, including in-situ spectroscopy, microscopy, and impedance spectroscopy, will be employed, enabling a comprehensive understanding of the structural and electrochemical properties of these materials. Additionally, theoretical and computational studies employing advanced techniques such as density functional theory (DFT), finite element simulations, and machine learning are conducted to unravel the underlying mechanisms that govern the electrochemical performance. Through this multidisciplinary approach, a comprehensive understanding of the relationships between material properties, electrochemical behavior, and device performance can be achieved.
This special issue invites contributions from researchers and engineers in both academia and industry, encouraging the submission of original research and critical insights. Together, we can advance energy storage technologies and foster a sustainable energy future.
Dr. Dan Sun
Guest Editor
Manuscript Submission Information
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Keywords
- electrode materials
- battery life prediction
- electrochemical mechanism
- density functional theory calculations
- machine learning
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