20 May AiiDA introductory tutorial – July 5-9, 2021
This year’s edition of the AiiDA tutorial will take place from the 5th to the 9th July 2021 in a virtual format There is also a poster session to which participants are encouraged to present their work.
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. Our INTERSECT IM2D integrates open-source materials modelling codes (Quantum ESPRESSO and SIESTA), with models and modelling software for emerging devices (GinestraTM) via the SimPhony infrastructure for semantic interoperability and ontologies, powered by the AiiDA workflow engine, and its data-on-demand capabilities and apps interface
Target Audience of the AiiDA introductory tutorial includes computational scientists from both academia and industry, Experience with Python is required, but prior experience with AiiDA is not necessary.
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:
Update ➡ the registration deadline has been extended to June 17th!
Update ➡ the AiiDA introductory tutorial video presentations to learn about AiiDA installation, provenance & workflows, Materials Cloud & plugin ecosystem & more, are now available! Watch the playlist at https://www.youtube.com/watch?v=Um6WUvmTByE&list=PLwM2jMcWDGDDtuGXbMWc7dai-mAQETcTB&index=1
Sorry, the comment form is closed at this time.