AI-driven computational approaches for enhancing energy devices and systems: From materials to grid optimization

The accelerated movement towards smart and sustainable energy systems has established the need of sophisticated computational procedures to address issues at numerous levels of the energy system as more important. Here the paper gives a comprehensive analysis of AI-based computational methodologies (AI-CMs) to improve energy devices and systems, both at the materials level and grid-level optimization. On the materials and device scales, deep learning (DL) and machine learning (ML) models can be