Join this webinar to see how highly efficient software such as VASP, unprecedented compute power, and intuitive multiscale modeling have made computational materials science central to R&D. Learn how these tools can optimize electronic devices, engineer organic–inorganic interfaces, unravel reaction mechanisms, study hydrogen diffusion, tailor polymer properties, and predict stress in PVD-grown thin films.

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

UGM Plenary Speaker Spotlight Tuesday, we host Dr. Carla Verdi; Faculty at University of Vienna, Austria and Dr. Georg Kresse; Professor...

UGM MedeA Training Generating and Applying Machine-Learned Potentials with MedeA Instructor: Dr. David Reith Density functional theory...

UGM Plenary Speaker Spotlight This week, we host Jörg Behler; Full Professor of Theoretical Chemistry University of Göttingen, Germany...

Jeffrey Grossman; Department Head of Materials Science and Engineering at the Massachusetts Institute of Technology

Radionuclide Sequestration in MOFs: DFT Method Exploration and a Conceptualization of Graph Neural Networks This webinar will be focused...