This webinar will provide the tools and insights to enhance your polymer research and design using molecular modeling and data science

This significant work explores the innovative application of machine-learned potentials (MLPs) to improve the accuracy and efficiency of pr

DCS Computing GmbH and Materials Design, Inc. Announce Collaboration

Polypropylene straws survive in the environment for decades, endanger wildlife, and eventually release harmful chemicals as they decompose.

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

University of Kazan Develops Highly Accurate Machine-Learned Potential (MLP) for Aluminum Using n2p2 Methodology in MedeA MLPG

Materials Design Scientists, Michele Kotiuga and Volker Eyert invited as working-group members of the Psik Network

Dr. René Windiks has been invited to speak at the online event, "Solid-State Batteries: Innovations, Promising Start-Ups, & Future...

Please join University of Washington Professor Bruce Eichinger and Materials Design Chief Scientific Officer Dr. Erich Wimmer for an...

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

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

Dr. Benoit Minisini presents a keynote talk at the conference “Matériaux 2022” Materials Design research scientist Dr. Benoit Minisini...

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...