Thanks to AiiDA, we could demonstrate a sustained 99.96% utilization for over 20 hours of the full supercomputer Alps (@cscsch's new near-exascale supercomputer), computing tens of thousands of compounds! You can read more in the @nccr_marvel highlight below
How a team of #MARVEL scientists completed a computational marathon that showcased the power of Switzerland’s new #Alps supercomputer, and the efficiency of the #AiiDA computational materials science platform. Read more 👉 nccr-marvel.ch/highlights/Ai…
AiiDA is being presented at the @EuroSciPy this week! Both talks and a tutorial, focusing on the new WorkGraph syntax to make writing workflows much easier. If you are at the conference, come to check it out!
Today we announce the launch of our new communication platform: aiida.discourse.group
Join us with all your questions, discussions, and requests for support. Our developers and community are looking forward to be able to help out!
2 new post-doc/research software engineer positions open at @psich_en (Switzerland): join the @aiidateam to extend AiiDA's support for large data and next-generation HPC! Info on how to apply here: psi.ch/en/pa/job-opportuniti…
Deadline: July 30, 2023
psi.ch
We are already on the 4th day of the Flagship workshop "Open Databases Integration for Materials Design" here in CECAM-HQ!
Today, participants (online and on-site) are discussing about OPTIMADE #implementation. They will meet again tomorrow morning before leaving #Lausanne
Learn how to compute many materials properties via Wannier functions at the Wannier 2022 Summer School, at ICTP (Trieste, Italy), 16-20 May 2022. Registration deadline: 15 Feb 2022. Will also explain how to automatically obtain Wannier functions via AiiDA! indico.ictp.it/event/9789/
We're hiring a Materials Cloud Software Engineer/Web developer at EPFL!
Position renewable yearly up to 4 years. Applications should be submitted by Oct 31st, 2021.
All details at this link: theossrv1.epfl.ch/uploads/Ma…
Common workflows for computing material properties using different codes can boost reproducibility, simplify interoperability and cross-verification, and open up their use to a wider range of researchers. More in @Nature_NPJ Comput. Mater.: bit.ly/3mgZSy6@max_center2
Common workflows for computing material properties using different codes can boost reproducibility, simplify interoperability and cross-verification, and open up their use to a wider range of researchers. More in @Nature_NPJ Comput. Mater.: bit.ly/3mgZSy6@max_center2