New, novel or better materials are needed to overcome challenges facing society, from environmental issues to healthcare and more. Scientists around the world have already generated massive amounts of data but what was missing was a place to pool the data and Big-Data tools to find new knowledge. NOMAD provides a solution, offering access to materials science Big Data through the Repository and Archive and providing tools to choose the best material for different uses (Encyclopedia, Analytics Toolkit).

In the spirit of Open Science, data and tools are openly shared with researchers and industries from around the world, creating exciting new ways to mine materials science Big Data in the fourth paradigm of Big-Data-Driven Science

C. Draxl and M. Scheffler, NOMAD: The FAIR Concept for Big-Data-Driven Materials Science. Invited Review for MRS Bulletin 43, 676-682 (2018). PDF
 

Learn more!


This introductory video explains how scientists and engineers can use NOMAD tools and services to develop better materials.
Video Link at YOUKU in China


Watch and learn how NOMAD tools and services can be used to develop better materials, perhaps even those that do not yet exist in nature!

 


This video explains what the NOMAD Repository is and how scientists can use it in their research: to upload, download, and share files from computational materials science.
Video Link at YOUKU in China 


Check out the NOMAD Big-Data Analytics Toolkit and see how scientists can use NOMAD tools to make the finding and understanding new materials easy.

 

You can also have a look at our project brochure and other promotional materials to learn more about NOMAD. 

Check out a full list of our presentations and open access publications, as well as our public deliverable reports.

 

Stay in touch on social media and check out our newsletter for all our latest news!

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For further information on Outreach, contact Kylie O'Brien (kylie.obrien@pintailservices.com).

Outreach Latest News

Our latest publication is Materials structure genealogy and high-throughput topological classification of surfaces and 2D materials (npj Computational Materials (2018) 4:52 ; doi:10.1038/s41524-018-0107-6).

The paper describes a general recursive scheme for the structural classification of atomistic systems and introduces a structural materials map that can be used to organize the materials structure genealogy. A software implementation is freely available with an open source license (https://github.com/SINGROUP/matid).

 Illustration of topological materials geneaology