Papers
1
Total Citations
196
H-Index
1
About
S. Vigneshwar is a leading researcher at the intersection of artificial intelligence and sustainable energy technologies. His work focuses on leveraging AI to optimize hydrogen production, storage, and battery systems, addressing critical challenges in the transition to clean energy. His most-cited paper, "Artificial intelligence driven hydrogen and battery technologies – A review" (2022), has garnered 196 citations, establishing him as a key voice in this rapidly evolving field. In this comprehensive review, Vigneshwar systematically analyzes how machine learning algorithms enhance the efficiency, durability, and cost-effectiveness of hydrogen fuel cells and advanced batteries. His contributions provide a foundational framework for integrating AI into energy storage research, offering practical pathways for accelerating the adoption of renewable energy systems. Vigneshwar’s work is widely recognized for its clarity and interdisciplinary impact, bridging computer science with electrochemical engineering. His research continues to shape how emerging technologies can be harnessed to solve global energy challenges, making him a vital resource for students and researchers exploring the future of sustainable power.
Research Focus
Key Achievements
Top Papers
- 1Artificial intelligence driven hydrogen and battery technologies – A review196 citations · 2022