Key Highlights
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Researchers used 3D imaging and simulations to show how the tiny pore structure inside an electrode controls the formation of bubbles during water splitting, a key process for making green hydrogen. This discovery provides new design rules for building more efficient and durable electrolyzers, which are crucial for scaling up renewable energy storage.
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Scientists have created a new machine learning tool that can predict the yield of propylene, a vital chemical, from propane, using a simple descriptor that screens all metallic elements. This approach identified a promising catalyst (IrGa@NC) that achieved a 51.1% propylene yield, outperforming current best-in-class catalysts and drastically speeding up the discovery process.
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A new standardized framework is proposed to help cities worldwide tackle energy poverty and improve energy access by focusing on security, sustainability, and affordability. By combining local data with community knowledge, this tool can guide municipalities in creating effective policies to ensure clean and reliable energy for all residents.
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