Freysoldt, C.: On-the-fly parameterization of internal coordinate force constants for quasi-Newton geometry optimization in atomistic calculations. Computational Materials Science 133, pp. 71 - 81 (2017)
Koprek, A.; Cojocaru-Mirédin, O.; Würz, R.; Freysoldt, C.; Gault, B.; Raabe, D.: Cd and Impurity Redistribution at the CdS/CIGS Interface After Annealing of CIGS-Based Solar Cells Resolved by Atom Probe Tomography. IEEE Journal of Photovoltaics 7 (1), 7762819, pp. 313 - 321 (2017)
Cui, Y.; Lee, S.; Freysoldt, C.; Neugebauer, J.: Role of biaxial strain and microscopic ordering for structural and electronic properties of InxGa1-xN. Physical Review B 92 (8), 085204, pp. 5204 - 5210 (2015)
Freysoldt, C.; Pfanner, G.; Neugebauer, J.: The dangling-bond defect in amorphous silicon: Statistical random versus kinetically driven defect geometries. Journal of Non-Crystalline Solids 358 (17), pp. 2063 - 2066 (2012)
Pfanner, G.; Freysoldt, C.; Neugebauer, J.; Gerstmann, U.: Ab initio EPR parameters for dangling-bond defect complexes in silicon: Effect of Jahn-Teller distortion. Physical Review B 85 (19), 195202, pp. 1 - 8 (2012)
Mitra, C.; Lange, B.; Freysoldt, C.: Quasiparticle band offsets of semiconductor heterojunctions from a generalized marker method. Physical Review B 84 (19), 193304, pp. 1 - 4 (2011)
Pfanner, G.; Freysoldt, C.; Neugebauer, J.: Ab initio study of electron paramagnetic resonance hyperfine structure of the silicon dangling bond: Role of the local environment. Physical Review B 83 (14), 144110, pp. 1 - 8 (2011)
Lange, B.; Freysoldt, C.; Neugebauer, J.: Native and hydrogen-containing point defects in Mg3N2: A density functional theory study. Physical Review B 81, 224109, pp. 1 - 10 (2010)
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
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one. With this project, we aim to…
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.
Atom probe tomography (APT) is one of the MPIE’s key experiments for understanding the interplay of chemical composition in very complex microstructures down to the level of individual atoms. In APT, a needle-shaped specimen (tip diameter ≈100nm) is prepared from the material of interest and subjected to a high voltage. Additional voltage or laser…
Ever since the discovery of electricity, chemical reactions occurring at the interface between a solid electrode and an aqueous solution have aroused great scientific interest, not least by the opportunity to influence and control the reactions by applying a voltage across the interface. Our current textbook knowledge is mostly based on mesoscopic…