Filippo Spiga is key members of MaX from ARM enthusiastically share their contribution and how they could add value to the success of the project.
LAVOISIER discussions will focus on the exchange about recent progress and challenges in modelling “exciton physics, thermal transport/thermoelectric and magnetic/spin proximity effects”. The participants will address
MaX (Materials design at the exascale) and its partners are leading the research of innovative materials, modelling and simulation toward a new era. MaX has achieved an ambitious goal
An outstanding candidate is sought with a background in the physical sciences (physics, chemistry, or materials science/engineering) alongside strong programming skills and organisational skills, and
Date: June 10 – June 21 2019, Sissa-Trieste | Italy The School is primarily intended for undergraduate students in Physics or Chemistry who wish to
A paper describing the developments in the Yambo code over the last ten years has just been published in the Journal of Physics: Condensed Matter. Yambo,
The 6.4.1 version of Quantum ESPRESSO is available for download. For more information please see the release notes, available on GitHub and GitLab. For other info about Quantum
EOSC-hub Week is back in its 2nd edition which will take place on 10-12 April 2019 at the Vienna House Diplomat in Prague, Czech Republic. This
The EuroMPI conference is since 1994 the preeminent meeting for users, developers and researchers to interact and discuss new developments and applications of message-passing parallel computing, in particular
The Materials design at eXascale (MaX) is one of the High-Performance Computing Centers of Excellence (HPC CoE) that was invited to showcase how MaX is seamlessly integrating
Quantum Espresso (QE) is an integrated suite of Open-Source computer codes for electronic-structure calculations and materials modelling at the nanoscale. It is based on density-functional theory,
MaX @ the Graphene Week 2019, Helsinki, 23-27 September 2019. Graphene Flagship – MaX joint workshop on “High-performance computing for 2D materials research” Parallel Session on