Review
Open access
2026
Multimodal Machine Learning for Data-Driven Materials Selection: A Review of Foundations, Advances, and Future Directions
This review aims to offer a conceptual framework and a solid reference for building intelligent multimodal material selection systems and presents a forward-looking research agenda covering self-supervised learning, knowledge-enhanced models, and interpretable human–AI collaboration.
Yuwei Zhang, Chou Yong Tan, Beichen Wang et al.
· IEEE Access · 0 citations