Double transition-metal MXenes: Classification, properties, machine learning, artificial intelligence, and energy storage applications

Continuous research efforts have yielded significant advancements in MXenes, particularly with the discovery of ordered double transition metal (DTM) MXenes. These DTM MXenes have expanded the MXene family by incorporating two different transition metals at the metal sites. In this review, the classification, properties, and energy storage applications of DTM MXenes have been thoroughly discussed. Additionally, the utilization of machine learning (ML) and artificial intelligence (AI) in theoretical modeling has also been studied to understand the development of DTM MXenes. Moreover, critical research directions have been outlined to pave the way for achieving high-performance DTM MXenes, not only for energy storage applications but also for broader and diverse applications in different fields.