The research aims to enhance phase stability in Na layered oxide cathodes using high-entropy doping and machine learning.
Developed a computational screening framework
Integrated high-entropy doping strategies
Utilized machine learning algorithms for predictions
Enhanced phase stability achieved in O3-type Na layered oxide cathodes
Demonstrated potential for applications in electric vehicles and energy storage systems
Abstract
We propose a high-throughput computational screening framework that integrates high-entropy doping strategies with ML to enhance phase stability in O3-type Na layered oxide cathodes.