Despite the huge number of possible materials (e.g. GaAs, Al2O3, etc.), we note that “the chemical compound space” is sparsely populated when the focus is on selected properties or functions (e.g. structure: rock salt vs. zinkblende, electrical conductivity, etc.). NOMAD offers big-data analytics tools that will help to sort all of the available materials data to identify trends and anomalies. For more information click the "INTRODUCTION TO" button above.

Learn about the results
of the NOMAD competition
Watch the introductory
movie about the

Big-Data Analytics Toolkit




The following tutorials are designed to get started with the Analytics Toolkit (click title to show/hide details of the selected tutorial):

Analysing the content of the Archive
Timely artificial-intelligence applications to Materials Science
Tutorials for artificial-intelligence methods


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