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Machine Learning Breakthrough Enables Programmable ‘Thermal Switch’ Materials

A new machine learning technique is enabling precise control over heat flow in advanced nanomaterials. Researchers report this breakthrough could lead to materials that function like thermal dimmer switches for next-generation electronics and wearable devices.

Machine Learning Unlocks Thermal Control in Advanced Materials

Researchers have developed a machine learning approach that enables programmable control over heat flow in nanomaterials, functioning like a thermal dimmer switch, according to recently published research. The breakthrough reportedly allows materials to be made hotter or colder through simple mechanical deformation such as squeezing or stretching.