MaX Centre of Excellence leads advanced research in materials science using cutting-edge high-performance computing
Pioneering software and simulations empower scientists to model, predict, and design novel materials at the atomic level
MaX harnesses exascale and high-throughput computing to accelerate materials discovery and scientific breakthroughs
Data-driven insights and HPC empower researchers to explore new frontiers in materials science and technology
Strong partnerships with universities, research centers, and industry drive innovation and knowledge exchange throughout the EU
Cutting-edge simulations transform scientific insights into real-world applications, fostering sustainable and practical innovations
MaX (Materials design at the eXascale) Centre of Excellence is a leading European research initiative that drives innovation in materials science through cutting-edge high-performance computing (HPC), high-throughput computing (HTC), and advanced data analytics. As a European Centre of Excellence, MaX empowers researchers to perform materials modeling, simulations, and discovery at the forefront of scientific computation, enabling breakthroughs that were previously unattainable.
Nicola Marzari, a leading figure in computational materials science and a long-standing member of the MaX Centre of Excellence, has been honoured by the American
MaX CoE congratulates Professor Stefano Baroni on this outstanding achievement and thanks him for his lasting contributions to computational physics and open scientific collaboration. MaX
CASTIEL 2 launches the HPC in Europe Portal, gathering EU-funded HPC resources, training, and expertise in one platform to enhance accessibility, collaboration, and visibility within
Stay updated on the latest advances in high-performance computing and materials science with the MaX Centre of Excellence.
Events, HPC collaboration
Date: 16/11/2025 to 21/11/2025
Location: St. Louis, USA
Events, HPC collaboration, MaX Training
Date: 17/11/2025 to 21/11/2025
Location: Online
Events, HPC collaboration, MaX Training
Date: 31/12/2025
Location: Coming soon