A Multi-scale Computational Framework for Property Prediction of Fluid Mixtures Leveraging limited experimental data through simulation...

MedeA in Publication: Influence of Quantum Oscillations in the Thermal Scattering Law of Zirconium Carbide on Neutron Thermalization and Cri

A recent report details the extraordinary work carried out at the Idaho National Laboratory (INL) High Performance Computing (HPC)...

Materials Design’s State-of-the-Art Tools Supporting Tomorrow’s Energy Solutions: Controlled Fusion

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. Jozef Bicerano; founder and President of Bicerano & Associates Consulting, LLC, USA...

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...

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...