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)
Tan, A. M. Z.; Freysoldt, C.; Hennig, R. G.: First-principles investigation of charged dopants and dopant-vacancy defect complexes in monolayer MoS2. Physical Review Materials 4 (11), 114002 (2020)
Tan, A. M. Z.; Freysoldt, C.; Hennig, R. G.: Stability of charged sulfur vacancies in 2D and bulk MoS2 from plane-wave density functional theory with electrostatic corrections. Physical Review Materials 4 (6), 064004 (2020)
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
Atom probe tomography (APT) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.