Efficient Screening of Metal Binary Alloys as Promising Anode Materials for Various Battery Systems Using Machine Learning

Machine learning-assisted screening of over 12,000 metal binary alloys identified hundreds of promising anode candidates with low potential and high specific capacity for Li, Na, K, Zn, Mg, Ca, and Al-based battery systems.