MaX researchers create aiida-hubbard, an automated, reproducible framework for self-consistent Hubbard U and V calculations using DFPT. A team of MaX CoE researchers has developed
MaX joined the CASTIEL2 Communications Workshop at BSC, promoting effective HPC communication and collaboration among CoEs and NCCs across Europe. On 30 June 2025, MaX
MaX CoE joined PASC25, where project coordinator, Professor Molinari, spoke on HPC-driven materials discovery. Her talk highlighted sustainability, open-source tools, and reproducibility as key to
MaX CoE was once again present at ISC High Performance, held in Hamburg from June 10 to 13, 2025. This year marked the 40th edition
This year marks the 30th anniversary of the SIESTA project. To commemorate the occasion, a surprise celebration was organized during the SIESTA Advanced Workshop, paying
Between 2-5 June, 2025, MaX Centre of Excellence co-organized the Advanced SIESTA Workshop in Barcelona, bringing together researchers and experts to explore machine learning, high-performance
The School on Machine Learning for Molecules and Materials Research is currently taking place in Zadar, Croatia. The event is supported by CECAM-HQ and co-sponsored by MaX CoE, Psi-k, Cost Action DAEMON, the University
MaX is pleased to announce the release of SIESTA 5.4.0, the second major update in the SIESTA 5 series. This version brings significant improvements in
Between May 19–23, 2025, MaX Centre of Excellence held a school on excited states in complex materials using MBPT methods. The program focused on advanced
SIESTA 5.2.2 was successfully adapted for ARM processors during the EPICURE HPC Hackathon in Braga, Portugal. Tested on the DEUCALION supercomputer, it now runs efficiently
Dear Readers, MaX Newsletter is read by 800+ subscribers across Europe. Over the past two years, MaX has made significant strides in developing and optimizing
MaX Centre of Excellence (CoE) launches a new podcast series titled “Voices of MaX”, designed to open the doors of advanced materials research and high-performance