Novel Materials Discovery Center of Excellence
The Novel Materials Discovery (NOMAD) Center of Excellence (CoE) will advance computational materials science to enable systematic studies and predictions of novel materials to solve urgent energy, environmental, and societal challenges. Examples are catalytic water splitting (hydrogen production) and the transformation of waste heat into useful electricity (search for efficient thermoelectric materials). Such studies are infeasible with present concepts and computer codes but require significant methodological advancements targeting the upcoming exascale computers. This is exactly where the NOMAD CoE is active.
Latest NOMAD News
Mitigating the Impacts of Climate Change: How EU HPC Centres of Excellence Are Meeting the Challenge
In this article, you can learn how the EU HPC Centres of Excellence are mitigating the impacts of climate change.
FocusCoE at EuroHPC Summit Week 2022
With the support of the FocusCoE project, almost all European HPC Centres of Excellence (CoEs) participated once again in the EuroHPC Summit Week (EHPCSW) this year in Paris, France: the first EHPCSW in person since 2019’s event in Poland.
FocusCoE Hosts Intel OneAPI Workshop for the EU HPC CoEs
On March 2, 2022 FocusCoE hosted Intel for a workshop introducing the oneAPI development environment. In all, over 40 researchers representing the EU HPC Centres of Excellence (CoEs) were able to attend the single day workshop to gain an overview of OneAPI.
CoEs at Teratec Forum 2021 and ISC21
With the support of FocusCoE, a number of HPC CoEs will give short presentations at the virtual PRACE booth in
Looking for news on all CoEs? Visit the >> CoE news page
NOMAD on Twitter
The NOMAD CoE has recently launched a brand new website, with revamped new graphics and contents! Please take a look under the following link:
Read MoreToday, we hosted (in hybrid mode) the Colloquium by Prof. Weitao Yang (Duke University) at the Humboldt University in Berlin! "Density Functional Theory: Correcting Systematic Errors and Predicting ...
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