Erich Wimmer to Keynote at 5th Aspherix & CFDEM Conference in Vienna
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
Materials Design Scientist, Dr. René Windiks, to Present at TechBlick’s Online Event Solid-State Batteries: Innovations, Promising Start-Ups, & Future Roadmap
MedeA Software Training at the South African CHPC National Conference 2023
Webinar: Machine-Learned Potentials: Surpassing the Limits of the Ab Initio World without Leaving...
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
MedeA in Publication: Naval Nuclear Lab used MedeA to improve understanding of quantum effects
A Report on the Advanced Simulation Engineering Tool
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”
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...
Thursday's UGM Training: Generating and Applying Machine-Learned Potentials with MedeA
Wednesday's UGM Webinar: Atomistic Simulations with High-Dimensional Neural Network Potentials
Tuesday's UGM Webinar: Materials Innovations for Chemical Separations
Upcoming Webinar: Radionuclide Sequestration in MOFs