The RG Leader brings in essential knowledge about US materials science efforts across the board. The expertise is particularly heavy in materials deformation and Artificial Intelligence (AI) applications, including material characterization and analytics. NOMATEN plans concern the analysis of Large Data sets, in the form of multi-dimensional images, models, by using material informatics methods. This is in order to describe in a physics-based way, experimental systems, and detailed characterization tests for irradiated and non-irradiated structural materials using both destructive and non-destructive sampling methods.

Leader: Stefanos Papanikolaou PhD (0000-0001-5239-1275)

Stefanos Papanikolaou

Stefanos obtained his BSc in Physics at the National University of Athens. His MS and PhD degrees are in Physics from the University of Illinois, Urbana-Champaign. He performer his postdoctoral work in the Department of Physics at Cornell University, and then he held positions at Yale University, Johns Hopkins University and West Virginia University.

His research interest is in the theories and applications of statistical methods for the multiscale modeling of mechanical behaviour of materials, with the most critical results possibly being the elucidation of size, rate and stochastic effects in the micromechanics of metallic micropillars, the connections between crystal and amorphous plasticity, as well as the use of machine learning methods, with a recent highlight being the studies of elastic instabilities using deep neural networks, applied to plasticity, damage and fracture.