NOMAD Laboratory


Feb 15, 2018

NOMAD welcomes research visit collaboration proposals

NOMAD welcomes research visit collaboration proposals for Big-Data Analytics development. The next deadline for HPC-Europa3 applications is February 28, 2018.

Close collaboration with the developers will help you to take advantage of the newly developed infrastructure particularly suited for machine learning in your own research.
The HPC-Europa3 programme also grants HPC resources for computing additional data for materials not already in the NOMAD Repository.

We recommend contacting the proposed host in advance and preparing the research plan together. The NOMAD research groups at Fritz Haber Institute Berlin, Humboldt University Berlin, King's College London, University of Cambridge, University of Barcelona, Aalto University and the Max Planck Institute for the Structure and Dynamics of Matter will host interested HPC-Europa3 visitors.

If you are interested, contact us!

Fritz Haber Institute, Berlin, Germany: Luca Ghiringhelli, Angelo Ziletti

Humboldt University, Berlin, Germany: Claudia Draxl


Aalto University, Finland: Patrick Rinke, Adam Foster


What is HPC-Europa3?

HPC-Europa3 (HPCE3) is an EC programme funding 3-13 week long research visits to eight European countries (DE, EL, ES, FI, IR, NL, UK, SE) promoting the use of High Performance Computing (HPC) and international research collaboration in all fields of science. HPCE3 covers the travel and accommodation costs, provides a small daily allowance for the visitor and gives access to the participating HPC center in the country of visit.

HPCE3 visitors can be affiliated to an academic or research institute or an SME in any EU or affiliated member state. Eligible hosts, which typically are research groups, can similarly be from either academia or industry, as long as the research results can be published.
If your group wants to receive visitors, you can sign up as a host in the on-line portal.

Applications are evaluated for suitability for HPCE3 (e.g. visit brings additional value for using resources remotely, establishes new or strengthens existing collaboration, research needs HPC or resources not available locally, code development, ...) and scientific excellence (by an international panel).

For more information and to apply on-line, visit: http://www.hpc-europa.eu