Deploy physics-informed AI against carbon

- Researchers and commentators are pushing physics‑informed AI models to better control carbon and pollutant flows in energy systems, using domain knowledge to constrain learning. (x.com) - The work connects to applied targets like low‑carbon steel and cement, batteries and hydrogen systems, passive cooling for cities, and high‑temperature gas sensors for aerospace. (x.com) (x.com) (x.com) - These hybrid materials‑plus‑AI approaches are being framed as practical tools to cut emissions in manufacturing and propulsion sectors. (x.com) (x.com)

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