Date: 05 July 2021 to 09 July 2021
Location: Vilnius University (LT)

This year's edition of the AiiDA tutorial will take place from the 5th to the 9th July 2021.

Because of the success of the 2020 edition, the tutorial will once again be organised in a virtual format, with two identical sessions to cover all possible time zones. Last year we had participants from over 30 different countries and 13 different time zones, and we once again want to provide full support for participants from all over the world!

The goal of this 5 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, a state-of-the-art framework for provenance tracking and workflow management designed to support high-throughput research. AiiDA already has support for over 50 materials science codes, including established density-functional theory codes such as Quantum ESPRESSO, which will be used for this tutorial.

Talks will be pre-recorded and made available to participants before the event. Hands-on sessions will be held via Zoom [1], with participants running the tutorial in their browser by accessing a JupyterHub deployment of AiiDAlab [2]. As mentioned above, two time slots will be provided for each session to accommodate for participants in different time zones. We will also be organising a poster session to which participants are encouraged to participate to present their work.

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 necessary.

Registration: Participation in the event is free of charge. The registration deadline is Thursday 10th of June at midnight CEST and the number of participants is limited to 120. For more information and a link to the registration form, please visit the official page of the event:

In collaboration with