Researchers reveal how inversion symmetry breaking and tunable localized polar phonons correlate with superconductivity, providing evidence that lattice dynamics and strong electron–phonon coupling may contribute
Between 2023 and 2026, MaX training activities reached more than 1,100 researchers worldwide, combining in-person courses, online sessions and hackathons to foster expertise in advanced
MaX has published a new edition of its Training Booklet, now extended to cover the period 2023–2026. The updated publication includes the most recent MaX
MaX will participate in the EuroHPC User Days 2026, taking place in Dublin, Ireland, from 22 to 24 September 2026. The event will bring together
First-principles many-body calculations show that phonon-mediated transitions are essential to describe light absorption and emission in cubic boron nitride, providing a more consistent interpretation of
MaX researchers have identified a room-temperature heat-transport regime in ultrathin semiconductors, where hydrodynamic phonon flow and thermoelastic effects combine to reduce thermal diffusivity. The findings
Researchers from MaX partner institutions combine ultrafast spectroscopy and first-principles simulations to uncover the delayed formation of high-energy excitonic states in monolayer WSe₂, revealing new
Application sectors: High-performance computing and EuroHPC services, Advanced materials modelling, Scientific software optimisation. Keywords: linear algebra, eigenvalue solvers, ScaLAPACK, cuSOLVER, cuSOLVERMp, ELPA, Yambo, EuroHPC, MaX,
Application sectors: High-performance computing and EuroHPC services, Advanced materials modelling, Energy-efficient scientific computing. Keywords: Multi-Process Service, MPS, Quantum ESPRESSO, PHonon, SIESTA, YAMBO, GPU optimisation, Leonardo
Application sectors: Nanoelectronics and electronic interconnects, Graphene-based chemical sensing, Low-friction materials and tribology. Keywords: graphene, graphene nanoribbons, edge reconstruction, topological defects, density functional theory, kinetic
Application sectors: Open science and FAIR research data, Computational materials science, European HPC and cloud infrastructure. Keywords: Materials Cloud Archive, FAIR data, CSCS, InvenioRDM, Ada
A new benchmark of the YAMBO code against the GW100 molecular data set shows that both its plasmon-pole and multipole approaches achieve strong agreement with reference