Stefanos Papanikolaou

Name
Stefanos
Surname
Papanikolaou
Department
NOMATEN
Group
Materials Structure, Informatics and Function
Personal webpage

http://nomaten.ncbj.gov.pl/

Research focus

Materials Informatics, Multiscale Materials Modeling, Statistical Mechanics, alloy composition search and machine learning, Machine learning of strain images, machine learning of interatomic potentials

ML expertise

Unsupervised Machine Learning using Principal Component Analysis and complex clustering,
Supervised Machine Learning using deep convolutional neural networks (Tensorflow), Decision Trees, Support Vector Machines (sklearn)

Relevant publications
  1. Papanikolaou, S., 2020. Microstructural inelastic fingerprints and data-rich predictions of plasticity and damage in solids. Computational Mechanics, 66(1), pp.141-154. https://link.springer.com/article/10.1007/s00466-020-01845-x
  2. Yang, Z., Papanikolaou, S., Reid, A.C., Liao, W.K., Choudhary, A.N., Campbell, C. and Agrawal, A., 2020. Learning to predict crystal plasticity at the nanoscale: Deep residual networks and size effects in uniaxial compression discrete dislocation simulations. Scientific reports, 10(1), pp.1-14. https://www.nature.com/articles/s41598-020-65157-z
  3. Papanikolaou, S. and Tzimas, M., 2019. Effects of rate, size, and prior deformation in microcrystal plasticity. Mechanics and Physics of Solids at Micro‐and Nano‐Scales, pp.25-54.
  4. Papanikolaou, S., Tzimas, M., Reid, A.C. and Langer, S.A., 2019. Spatial strain correlations, machine learning, and deformation history in crystal plasticity. Physical Review E, 99(5), p.053003. https://journals.aps.org/pre/abstract/10.1103/PhysRevE.99.053003
Other

Enjoying drinking coffee during random hours

Group membership



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.