EquiformerV2 Hits 20 meV/atom in AI Material Property Prediction

Which architectures are actually winning — from CGCNN and MEGNet to EquiformerV2 and hybrid transformer-graph models — on the Matbench leaderboard Predicting a material property — band gap, formation energy,…

Predict Material Failure Within 10-20% of Real Lifetimes

How digital material twins, ML corrosion models, and sensor-driven fatigue analytics are reshaping asset integrity in 2026 In materials engineering, the difference between a planned shutdown and a catastrophic failure…