Energy Conversion and Storage Devices
A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "C：Chemistry".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 78
Special Issue Editor
Special Issue Information
Dear Colleagues,
The global pursuit of a sustainable energy future hinges critically on the continuous advancement of technologies for efficient energy conversion and reliable storage. From next-generation photovoltaics and fuel cells to high-performance batteries and supercapacitors, the development of novel materials, optimized device architectures, and efficient management systems is paramount. However, the inherent complexity of these systems, involving intricate multi-physics phenomena, degradation mechanisms, and vast design spaces, presents significant challenges for traditional research and development approaches. In addition, with the development of Artificial Intelligence (AI), machine learning (ML), deep learning (DL), data analytics, and other Al methodologies are rapidly emerging as indispensable tools for accelerating material discovery and design, multi-scale modeling and simulation, intelligent device optimization and control, enhanced characterization and diagnostics, predictive management, and system integration across the entire spectrum of energy conversion and storage technologies. Against this backdrop, this Special Issue aims to showcase original research papers and review articles that focus on recent developments and technologies for energy conversion and storage devices, synthesizing advancements at the forefront of AI-assisted research within this domain.
Dr. Jing Xu
Guest Editor
Manuscript Submission Information
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Keywords
- energy conversion devices
- energy storage devices
- photovoltaic devices
- batteries
- artificial intelligence
- machine learning
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