Review
Open access
Sep 2026
Artificial intelligence-driven magnetic property prediction and materials discovery for next-generation spintronics
This review provides an overview of recent progress in ML-driven spintronic materials research, focusing on how data-driven models, integrated with high-throughput first-principles calculations and experimental databases, are transforming the prediction of key magnetic properties.
R. Elilarassi, D. Sivanandakumar, Palaniappan Nagarajan et al.
· RSC Advances · 0 citations