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NOMAD/FAIRmat hands-on tutorials: Making the Dat ... (No replies)
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Dear Psi-k community,
The NOMAD CoE and FAIRmat consortia are building a Research-Data Infrastructure for Condensed-Matter Physics and the Chemical Physics of Solids to enable data sharing, analyses by artificial intelligence, and more.
Make data Findable and AI Ready!
Following the success of the previous events, the Series of FAIRmat Hands-on Tutorials continues with the Tutorial 3: Introduction to the Artificial-Intelligence Toolkit
This tutorial is dedicated to the NOMAD Artificial-Intelligence (AI) toolkit, the platform for running (jupyter) notebooks to analyse with AI tools the data contained in the NOMAD Archive.
We will cover, in an interactive, hands-on fashion, the several aspects of the AI-toolkit: the query over the NOMAD Archive via the NOMAD API, the basic notebooks for learning AI methods, and the advanced notebooks, where the workflow of relevant publications, in which AI is applied to materials science, can be interactively reproduced and further explored. Furthermore, we will introduce the local AI-toolkit app that allows to run a local version of the notebooks, e.g., to combine own data with the NOMAD Archive data.
At the end of the first day, few tutorial notebooks will be suggested to be perused by the participants before the second day starts. In the second day, break-out rooms will be organized, and in each room one of the selected tutorial notebooks will be discussed.
The tutorial will take place on April 6 and 7, 2022.
Schedule (see also https://www.fair-di.eu/fairmat-tutorials-3 ):
Apr 6, 15:00 CEST - Overview talk
Apr 6, 15:45-18:00 CEST - Hands-on Tutorial
Apr 7, 10:00-12:00 and 16:00-18:00 CEST - Hands-on Tutorial
The talks and tutorials will be presented via zoom. Videos will be available right after the actual live event on YouTube and KouShare.
For more information, please visit us at https://www.fair-di.eu/fairmat-tutorials-home
You need to register for participation.
Please do this here: https://www.fair-di.eu/fairmat-tutorials-registration
With best wishes,
Luca Ghiringhelli