Oh, D. M.; Wippermann, S. M.; Schmidt, W. G.; Yeom, H. W.: Oxygen adsorbates on the Si(111)4x1-In metallic atomic wire: Scanning tunneling microscopy and density-functional theory calculations. Physical Review B 90 (15), 155432 (2014)
Wippermann, S. M.; Schmidt, W. G.: Entropy Explains Metal-Insulator Transition of the Si(111)-In Nanowire Array. Physical Review Letters 105 (12), 126102 (2010)
Wippermann, S. M.; Schmidt, W. G.: Water adsorption on clean Ni(111) and p(2x2)-Ni(111)-O surfaces calculated from first principles. Physical Review B 78 (23), 235439 (2008)
Wippermann, S. M.; Koch, N.; Schmidt, W. G.: Adatom-induced conductance modification of in nanowires: Potential-well scattering and structural effects. Physical Review Letters 100 (10), 106802 (2008)
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
This project targets to exploit or develop new methodologies to not only visualize the 3D morphology but also measure chemical distribution of as-synthesized nanostructures using atom probe tomography.