Developing heat-resistant dielectric polymers for electrification is challenging due to the inverse relationship between thermal stability and electrical insulation. Using a machine learning-driven approach, the researchers identify and validate high-performance polymers that demonstrate promising thermal resilience and energy density for high-temperature applications.
