Sevlikar, S. V.; Muralikrishna, G. M.; Gaertner, D.; Starikov, S.; Brink, T.; Scheiber, D.; Smirnova, D.; Irmer, D.; Tas, B.; Esin, V. A.et al.; Razumovskiy, V. I.; Liebscher, C.; Wilde, G.; Divinski, S. V.: Grain boundary diffusion and segregation of Cr in Ni Σ11(1̄13)[110] bicrystals: Decoding the role of grain boundary defects. Acta Materialia 278, 120229 (2024)
Starikov, S.; Smirnova, D.: Details of structure transformations in pure uranium and U-Mo alloys: Insights from classical atomistic simulation. Journal of Nuclear Materials 576, 154265 (2023)
New machine learning framework makes metal recycling more sustainable without compromising on mechanical properties. Results now published in journal Science Advances.