MedeA 3.6 - highly integrated machine learning methods that extend 'ab initio' accuracy to mesoscale system sizes and time scales...battery

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...

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

Materials Design Announces the Release of MedeA 3.5, 'Make Your Work Flow!'. Materials Design is delighted to announce a new release of...

Materials Design, Inc. Announces the Release of MedeA 3.4, 'Material Control'.  MedeA 3.4 includes groundbreaking Machine-Learned...

Materials Design, Inc. Announces the Release of MedeA 3.3, 'Material Intelligence'. "We are delighted to announce the release of MedeA...