Artificial Intelligence (AI) for Advanced Nanomaterials and Energy Storage Technologies: Supercapacitor and Batteries
A special issue of Nanomaterials (ISSN 2079-4991). This special issue belongs to the section "Nanoelectronics, Nanosensors and Devices".
Deadline for manuscript submissions: 25 October 2025 | Viewed by 235
Special Issue Editor
Interests: electrochemistry; carbon nanostructures; hydrogen energy; electrical energy storage; electrochemical energy research; hybrid battery type supercapacitor; new 2D-nanosheets production; hybrid energy storage
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recent advancements in Artificial Intelligence (AI) have revolutionized the development of advanced nanomaterials for energy storage technologies, including supercapacitors and batteries. AI-driven approaches enable the design and discovery, structural optimization, and performance prediction of precise materials, leading to enhanced energy storage solutions. The integration of AI in material design facilitates the identification of novel high-performance nanomaterials. In addition, currently, world researchers’ focused AI-based modeling and machine learning algorithms are accelerating future energy research by predicting material behaviors and optimizing battery and supercapacitor performance. Additionally, AI enhances the discovery of high-performance energy storage materials, reducing experimental costs and development time. The new secondary battery-type hybrid energy storage systems leverage AI-driven optimization to achieve superior efficiency and reliability. In addition, AI also plays a crucial role in the development of supercapacitors, addressing material limitations, stability concerns, and charge retention capabilities. In battery research, AI aids in designing novel electrode materials, solid-electrolyte formulations, and battery architectures to improve safety and longevity. The rise in electric vehicles (EVs) necessitates safer and high-energy-density alternatives beyond traditional Li-ion batteries. Finally, AI-based future sustainable energy material innovations and cost-effective energy storage solutions for renewable energy systems are a top priority.
Special Issue: Subtopics of focus may include:
- Advanced energy storage materials;
- Novel new dimensions: Carbon-based nanomaterials and their heteroatom-doped GO, RGO, CNT, CNFs;
- Artificial Intelligence and future energy research;
- Artificial Intelligence for energy storage materials discovery;
- Solar-based and hybrid energy storage innovations and AI;
- AI for supercapacitor development: merits and demerits;
- AI for battery materials design;
- Behind Li-ion batteries and alternative battery systems for safe EV batteries.
Dr. Vediyappan Thirumal
Guest Editor
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Keywords
- energy conversion
- energy storage
- batteries
- supercapacitors
- fuel cells
- catalysts
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