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 👉 https://t.co/K0aX4tPCmI
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!
Materials Cloud has been selected as one of the three Open Science Projects featured by @EPFLOpenScience https://t.co/YtRULescrS! You can check the video here: https://t.co/JYPtkkPmYr
Today we announce the launch of our new communication platform: https://t.co/xC5hZO0KpV
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: https://t.co/18Umyi5HY5
Deadline: July 30, 2023
https://t.co/A2a29g2jI8
Join us tomorrow and learn more about today’s news and how we’re accelerating scientific discovery with Azure Quantum Elements. Dr. @nathanabaker along with @aiidateam and @Johnson_Matthey will share the details with @AmerChemSociety at 8:00 a.m. (PDT).
https://t.co/bcYfzHI368
@nccr_marvel-led consortium (with PSI, Empa and ETHZ) won 3-year funding on “Open and reproducible materials-science research” to establish, promote and facilitate FAIR ORD practices, leveraging AiiDA for simulations and openBIS for experiments https://t.co/Hwarhqu6Nm
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
The brand new AiiDA 2.0 has been released! Improved performance in the storage capabilities and the import/export functionality, among others!
More information here: https://t.co/HBJVpVQrQE
#MARVEL_NCCR@nccr_marvel#MaX_CoE@max_center2@QuantumESPRESSO
Two open positions at @EPFL_en for postdocs/software engineers on coupling #MaterialsCloud Archive with simulations using #AiiDA and #AiiDAlab!
Deadline: March 20th, 2022.
Details and how to apply: https://t.co/Okt6FIh4Jn
@nccr_marvel@BIGMAP_EU
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! https://t.co/cTW1srkn7A
Last week (6-10 Dec 2021) we had a coding week for AiiDA, in Leysin (https://t.co/CN4e6vnNHa). Thanks to all the participants on-site and online. Looking forward to the next similar events in the future!
@nccr_marvel@max_center2#Hackathon#developers#coding
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: https://t.co/YXrLQDF0qc
Check out our new paper on common AiiDA workflows for materials properties via 11 different quantum codes: identical input/output format and fully automatic parameter choice! npj Comput. Mater. 7, 136 (2021), https://t.co/0f4arOgQsN @max_center2@CH_universities@EPFLOpenScience
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.: https://t.co/p66Gy38ROm @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.: https://t.co/p66Gy38ROm @max_center2
The paper reviewing the theory behind the Materials Cloud tool to predict the low-frequency infrared and Raman modes of 2D materials is now published on ACS Nano: https://t.co/7i6YDSeheL Tool: https://t.co/kS94OGqwwG
@nccr_marvel@max_center2@CH_universities#OSSCAR