A brief analysis of research trends in high-power microwave effects empowered by AI

Background With the advancement of artificial intelligence (AI) technology, integrating AI into scientific research and leveraging AI tools to empower scientific discovery has emerged as an important trend in the development of scientific research.

Purpose This paper analyzes and discusses the feasibility of introducing artificial intelligence technology into high-power microwave (HPM) effect research and its enabling role in such research, with the aim of promoting AI to better play its pioneering and leading role in the study of HPM effects.

Methods The present paper provides a detailed exposition of the applications ensuing from the integration of artificial intelligence into HPM effect research, encompassing the acceleration of multiphysics coupled simulations, assisted prediction of damage conduction processes, facilitation of high-throughput HPM effect experiments, and the development of large language models for HPM, accompanied by specific exemplifications.

Results Especially with regard to the acceleration of coupled multiphysics simulations and the assisted prediction of damage propagation processes, leveraging artificial intelligence’s robust nonlinear mapping competence and multimodal data fusion capacity will furnish crucial momentum to the elucidation of the underlying mechanisms of HPM effects.

Conclusions The incorporation of artificial intelligence technology into the study of HPM effects constitutes a significant developmental trend endowed with far-reaching application prospects.