Kenmoe, S.; Biedermann, P. U.: Water adsorbate phases on ZnO and impact of vapor pressure on the equilibrium shape of nanoparticles. The Journal of Chemical Physics 148, 054701 (2018)
Kenmoe, S.; Biedermann, P. U.: Water aggregation and dissociation on the ZnO(1010) surface. Physical Chemistry Chemical Physics 19, pp. 1466 - 1486 (2017)
Kenmoe, S.; Biedermann, P. U.: Water adsorption on non polar ZnO surfaces: from single molecules to multilayers. In APS March Meeting 2015, abstract #G8.011. APS March Meeting 2015 , San Antonio, TX, USA, March 02, 2015 - March 06, 2015. (2015)
Kenmoe, S.; Biedermann, P. U.: Water adsorption on non polar ZnO surfaces: from single molecules to multilayers. In DPG Spring Meeting 2015, Abstract: O14.12. DPG Spring Meeting 2015 , Berlin, Germany, March 16, 2015 - March 20, 2015. (2015)
Kenmoe, S.; Todorova, M.; Biedermann, P. U.; Neugebauer, J.: Impact of the vapour pressure of water on the equilibrium shape of ZnO nanoparticles: An ab-initio study. In APS March Meeting 2014, abstract #Q2.009. APS March Meeting 2014 , Denver, CO, USA, March 03, 2014 - March 07, 2014. (2014)
Kenmoe, S.; Todorova, M.; Biedermann, P. U.; Neugebauer, J.: Impact of the vapour pressure of water on the equilibrium shape of ZnO nanoparticles: An ab-initio study. In DPG Spring Meeting 2014, Abstract: O50.6. DPG Spring Meeting 2014 , Dresden, Germany, March 30, 2014 - April 04, 2015. (2014)
Kenmoe, S.: Ab Initio Study of the Low-Index Non-Polar Zinc Oxide Surfaces in Contact with Water: from Single Molecules to Multilayers. Dissertation, Fakultät für Physik und Astronomie der Ruhr-Universität Bochum, Bochum, Germany (2015)
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) 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…
Recent developments in experimental techniques and computer simulations provided the basis to achieve many of the breakthroughs in understanding materials down to the atomic scale. While extremely powerful, these techniques produce more and more complex data, forcing all departments to develop advanced data management and analysis tools as well as…
Integrated Computational Materials Engineering (ICME) is one of the emerging hot topics in Computational Materials Simulation during the last years. It aims at the integration of simulation tools at different length scales and along the processing chain to predict and optimize final component properties.
Data-rich experiments such as scanning transmission electron microscopy (STEM) provide large amounts of multi-dimensional raw data that encodes, via correlations or hierarchical patterns, much of the underlying materials physics. With modern instrumentation, data generation tends to be faster than human analysis, and the full information content is…