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

A Study of VASP Simulations in Semiconductors: from Materials Engineering to Band Alignment

MedeA Software Training at the South African CHPC National Conference 2023

MedeA in Publication: Naval Nuclear Lab used MedeA to improve understanding of quantum effects

A Report on the Advanced Simulation Engineering Tool

Dr. Benoit Minisini presents a keynote talk at the conference “Matériaux 2022”