Sarma, D.; Pegu, D.; Saikia, U.; Sahariah, M. B.: Exploring the effect of Ti on He clustering in CuZr metallic alloy. Physica Scripta 100 (7), 075918 (2025)
Kamachali, R. D.; Wallis, T.; Ikeda, Y.; Saikia, U.; Ahmadian, A.; Liebscher, C.; Hickel, T.; Maass, R.: Giant segregation transition as origin of liquid metal embrittlement in the Fe-Zn system. Scripta Materialia 238, 115758 (2024)
Saikia, U.; Sahariah, M. B.; Dutta, B.; Pandey, R.: Structure, stability and defect energetics of interfaces formed between conventional and transformed phases in Cu–Nb layered nanocomposite. Physica Scripta 98 (6), 065959 (2023)
Scientists of the Max-Planck-Institut für Eisenforschung pioneer new machine learning model for corrosion-resistant alloy design. Their results are now published in the journal Science Advances
In order to prepare raw data from scanning transmission electron microscopy for analysis, pattern detection algorithms are developed that allow to identify automatically higher-order feature such as crystalline grains, lattice defects, etc. from atomically resolved measurements.