Electrostatic capacitors are crucial for energy storage, but their energy density, especially at high temperatures, needs improvement. This research uses artificial intelligence (AI), polymer chemistry, and molecular engineering to discover high-temperature dielectrics in the polynorbornene and polyimide families. A discovered polynorbornene dielectric exhibits an energy density of 8.3 J cc⁻¹ at 200 °C, significantly exceeding commercially available alternatives. The study also explores pathways to further enhance these materials for demanding applications, demonstrating AI's impact on materials design.

Rishi Gurnani, Stuti Shukla, Deepak Kamal, Chao Wu, Jing Hao, Christopher Kuenneth, Pritish Aklujkar, Ashish Khomane, Robert Daniels, Ajinkya A. Deshmukh, Yang Cao, Gregory Sotzing, Rampi Ramprasad