AiiDA online demo and virtual tutorial 2022#
The AiiDA team is excited to announce the 2022 edition of our introductory tutorial, now prefaced with a short demonstration of AiiDA’s capabilities in orchestrating workflows for materials science!
For this year’s edition, we are organising two events to introduce computational scientists to AiiDA:
The event will start with a 2-hour online demonstration of AiiDA’s capabilities on October 4th 2022, which can be attended separately without full participation in the tutorial.
The online tutorial will follow directly after the demonstration, spanning from 4-7 October 2022. In order to be able to provide ample interaction between tutors and participants, the number of participants in the tutorial is limited.
The goal of this 4 day-tutorial is to help students and researchers from the field of computational materials science get started with running and writing reproducible workflows. They will be introduced by experts in the field (including the developers of the code) to the use of AiiDA, and will gain in-depth hands-on experience using a tool that they can directly apply to their own research.
Target Audience: Computational scientists from both academia and industry are encouraged to apply. Experience with Python is required, but prior experience with AiiDA is not expected.
When: a 2-hour session on October 4th 2022, with two options to accommodate people from different time zones: 8:00-10:00 GMT and 15:00-17:00 GMT.
Where: Virtual Zoom Meeting, details will be communicated on October 1st.
Registration closed on October 1st 2022
When: 4-7 October 2022. Two time slots are organised for each hands-on session, as shown in the schedule below:
Where: Talks will be pre-recorded and made available to participants before the event. Hands-on tutorials will be held via Zoom, with participants running the tutorial in their browser by accessing a multi-user AiiDAlab deployed on the Azure Kubernetes Service.
Registration: Registration is closed!
The tutorial is organised by Chris Sewell (EPFL, CH), Marnik Bercx (EPFL, CH) and Giovanni Pizzi (EPFL, CH).
Tutorial lectures and assistance during hands-on sessions will be provided by the organisers and a team of core AiiDA developers: Jusong Yu, Francisco Ramirez, Sebastiaan Huber, Flaviano dos Santos, Carl Simon Adorf, and Aliaksandr Yakutovich.
For general information concerning the tutorial you can contact Chris (email@example.com) or Marnik (firstname.lastname@example.org).
We are very grateful to our sponsors for helping to make this event possible:
The MaX European Centre of Excellence, the swissuniversities P-5 project “Materials Cloud”, the MARVEL National Centre of Competence in Research, the H2020 MARKETPLACE project, and the BIG-MAP project. Computational resources on Azure were provided by Microsoft Azure Quantum.