NOMAD Midsummer School: Riga, June 15-21, 2022 – in person

With 10¹⁸ floating point operations per second, exascale computers will be able to simulate and analyze complex processes more realistically than what is possible today.

This will allow to study systems of higher complexity (in space and time) and to achieve higher accuracy and precision. In close contact with academia and industry, the NOMAD CoE (https://nomad-coe.eu/) will develop exascale algorithms to build reliable models for real-world, industrially relevant, complex materials. We will provide exascale software and artificial intelligence (AI) methods that provide more efficient workflows and advanced modeling.

The NOMAD Midsummer School will feature 7 different sessions including tutorials and a hackathon on developments of exascale solutions in Green function methods and advanced DFT.  Additionally, there will be keynote talks by internationally renowned researchers.

The school addresses PhD students and early carrier postdocs.

Please find details about the speakers, the concept, and registration at the website https://nomad-coe.eu/nomadmidsummerschoolriga.

The deadline for applications for participation is March 25, 2022.