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 Psi-k Network
MedeA Software Release MedeA 3.9 -- Materials Acceleration!
Materials Design Scientist, Dr. René Windiks, to Present at TechBlick’s Online Event Solid-State Batteries: Innovations, Promising Start-Ups, & Future Roadmap
MedeA Software Release MedeA 3.8 -- Micro to Macro!
Webinar: Machine-Learned Potentials: Surpassing the Limits of the Ab Initio World without Leaving...
MedeA Software Release MedeA 3.7 -- Material Performance!
Upcoming Webinar: A Multi-scale Computational Framework for Property Prediction of Fluid Mixtures
On Demand Webinar: A Conversation with Professor Bruce Eichinger, a Pioneer in Computational Polymer
Materials Design’s State-of-the-Art Tools Supporting Tomorrow’s Energy Solutions: Controlled Fusion
MedeA Software Release MedeA 3.6 -- Material Impact!
Dr. Benoit Minisini presents a keynote talk at the conference “Matériaux 2022”
Webinar: Interview with Dr. Jozef Bicerano, a world-expert in polymer modeling
Webinar: Δ-Machine Learning beyond DFT: from phase transitions to quantum paraelectricity & CO...
Upcoming Webinar: Radionuclide Sequestration in MOFs
MedeA Software Release MedeA 3.5 -- Make Your Work Flow!
MedeA Software Release MedeA 3.4 -- Material Control!
MedeA Software Release MedeA 3.3 -- Material Intelligence!
