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A breakthrough in thermal material design using artificial intelligence could transform how buildings manage heat. The new approach creates specialized coatings that keep surfaces dramatically cooler than conventional options, potentially reducing energy consumption by thousands of kilowatts annually.

AI Breakthrough in Thermal Material Design

Researchers from multiple countries have developed a novel machine learning approach to design advanced thermal management materials that could significantly reduce energy consumption in buildings and help combat urban heat effects. According to reports published in Nature and from the University of Texas, the technology represents a major advancement in thermal nanophotonics that could eventually reduce reliance on traditional air conditioning systems.