Description

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.

Program

March 9 2022	March 10 2022
Talk  John Henry Scott: Data-Centric Materials Science - The Critical Role of ELNs 15:00-16:00 CET	Hands-on tutorial José Márquez: Setting up eLabFTW for a simple lab 10:00 & 16:00 CET
Talk Mark Greiner: ELNs in FAIR data management 16:00-17:00 CET	Hands-on tutorial  Sherjeel Shabih: Integrating eLabFTW and NOMAD 10:30 & 16:30 CET
Hands-on tutorial Christoph T. Koch: Demonstration of the eLabFTW and NOMAD in daily use 17:00-18:00 CET	Hands-on tutorial Markus Scheidgen: NOMAD ELN - ELN features integrated into NOMAD 11:15 & 17:15 CET