AI for dielectric capacitors

Abstract

Dielectric capacitors, characterized by ultra-high power densities, have been widely used in Internet of Everything terminals and vigorously developed to improve their energy storage performance for the goal of carbon neutrality. With the boom of machine learning (ML) methodologies, Artificial Intelligence (AI) has been deeply integrated into the research and development of dielectric capacitors, including predicting material properties, optimizing material composition and structure, augmenting theoretical knowledge and so on. Through typical application cases, we comprehensively review that AI has greatly broadened the scope of the design and discovery of dielectric capacitors at multiple scales, ranging from atoms/molecules to domains/grains, films/bulks, and devices/systems. Finally, an outlook on potential solutions to current challenges and some novel applications and breakthroughs that AI may facilitate in the field of dielectric capacitors are highlighted.