Machine learning in energy chemistry: introduction, challenges and perspectives
Yuzhi Xu, Jiankai Ge, Cheng‐Wei Ju
Abstract
This review explores machine learning's role in energy chemistry, spanning organic photovoltaics, perovskites, catalysis, and batteries, highlighting its potential to accelerate eco-friendly, sustainable energy development.
Topics & Concepts
ChemistryComputer scienceData scienceMachine Learning in Materials ScienceFuel Cells and Related MaterialsAdvanced Photocatalysis Techniques