Join this webinar and explore how MLPs extend DFT accuracy to large, complex systems and long time scales. Learn how MedeA’s MLP Generator streamlines training, enables advanced materials-property predictions, and supports real-world research in corrosion, phase stability, defects, and catalysis. Ideal for scientists and engineers in multiscale modeling.

Understanding and Predicting Hydrogen Embrittlement in Metals Demonstrates the Predictive Power of MLPs for Complex Metallurgical Phenomena

AI and machine learning are penetrating materials computer simulations at a staggering pace. In particular, high-throughput generation of...