AI Identifies Hydrogen Cell Design Formula
A design principle that could dramatically improve the performance of reversible solid oxide cells, or RSOCs, which store electricity generated from renewable energy as hydrogen and convert it back into electricity when needed, has been identified through artificial intelligence technology. A resear
Artificial intelligence has identified a groundbreaking design principle for reversible solid oxide cells (RSOCs), which store and generate electricity from renewable energy as hydrogen. A team led by Professor Han Jeong-woo from Seoul National University collaborated with institutions in the U.S. to develop a composite air electrode with balanced ionic and electronic conductivity.
This innovation addresses the slow rate of oxygen ion exchange reactions that have limited RSOC performance. By replacing conventional air electrode materials with a new one, the team achieved peak power densities of 7.08 W/cm² in fuel cell mode and 7.88 A/cm² in water electrolysis mode, surpassing previous records. The new design principle, focusing on the balance of ionic and electronic conductivity, has shown significant improvements in both fuel cell and water electrolysis performance.
The strategy can be applied to various air electrode materials, leading to potential cost reductions and efficiency enhancements in green hydrogen production and fuel cell power generation. The research is expected to contribute to carbon neutrality efforts, with findings published as the cover paper in Nature Energy.
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