Liebscher, C.; Leitherer, A.; Chul Yeo, B.; Freysoldt, C.; Ghiringhelli, L. M.: Unsupervised and supervised machine learning for feature classification in atomic resolution images. BIO Web of Conferences 129, 10023 (2024)
Freysoldt, C.; Neugebauer, J.; Tan, A. M. Z.; Hennig, R. G.: Limitations of empirical supercell extrapolation for calculations of point defects in bulk, at surfaces, and in two-dimensional materials. Physical Review B 105 (1), 014103 (2022)
Kavanagh, S. R.; Scanlon, D. O.; Walsh, A.; Freysoldt, C.: Impact of metastable defect structures on carrier recombination in solar cells. Faraday Discussions 239, pp. 339 - 356 (2022)
New machine learning framework makes metal recycling more sustainable without compromising on mechanical properties. Results now published in journal Science Advances.
International research team shows how hydrogen affects Nickel-base superalloys at elevated temperatures. Latest results published in journal Nature Materials.