conference

NOMATEN develops software for better understanding of microscopy images of materials under extreme conditions

Large Data is common across materials science. Cross-correlating and understanding data from material surfaces is very important since there is typically a direct connection to physical properties. Also, it is very important to use this data to reconstruct the actual microstructure and perform simulations in a computer at the molecular or larger scale. However, understanding of Large Data requires the application of statistical and machine learning techniques. Further, simulations require efficient microstructural reconstruction techniques. Stefanos Papanikolaou's group at NOMATEN investigates such issues.

Subscribe to conference


This project has received funding from the European Union Horizon 2020 research and innovation
programme under grant agreement No 857470 and from European Regional Development Fund
via Foundation for Polish Science International Research Agenda PLUS programme grant
No MAB PLUS/2018/8.
Poland
The project is co-financed from the state budget within the framework of the undertaking of the Minister of Science and Higher Education "Support for the activities of Centers of Excellence established under Horizon 2020".

Grant: 5 143 237,70 EUR
Total value: 29 971 365,00 EUR
Date of signing the funding agreement: December 2023

The purpose of the undertaking is to support entities of the higher education and science system that have received funding from the European Union budget in the competition H2020-WIDESPREAD-2018-2020/WIDESPREAD-01-2018-2019: Teaming Phase 2. in the preparation, implementation and updating of activities, maintenance of material resources necessary for carrying out activities, acquisition and modernization of scientific and research apparatus, maintenance and development of personnel potential necessary for the implementation of activities, and dissemination of the results of scientific activities.