Date: 04 October 2022 to 07 October 2022
Location: virtual

For this year’s edition, two events are organised to introduce computational scientists to AiiDA:

  • The first 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.

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  • 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: Registration is free of charge, simply fill in the following (short) form before October 1st 2022:

    https://forms.gle/MjXi8Fb1rXquyETb8

  • 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.

When: 4-7 October 2022. Two time slots are organised for each hands-on session, as shown in the schedule below (click to open):

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 JupyterHub deployment of AiiDAlab.

Registration: Registration is free of charge! Please apply before 14th of September 2022 23:59 GMT:

https://forms.gle/Z9e6GxDL2EgEX27Y6

 

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.

Detailed program on AiiDA website