Vatti, A. K.: An ab initio study of muscovite mica and formation energy of ions in liquid water. Dissertation, Fakultät für Maschinenbau der Ruhr-Universität Bochum, Bochum, Germany (2016)
Bhogireddy, V. S. P. K.: Liquid metal induced grain boundary embrittlement: A multi-scale study. Dissertation, Fakultät für Maschinenbau der Ruhr-Universität Bochum, Bochum, Germany (2016)
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)
Lange, B.: Limitierungen der p-Dotierbarkeit von Galliumnitrid: Eine Defektstudie von GaN:Mg auf Basis der Dichtefunktionaltheorie. Dissertation, Universität Paderborn, Paderborn, Germany (2012)
Hamou, F. R.: Numerical Investigation of Scanning Electrochemical Potential Microscopy (SECPM). Dissertation, Fakultät für Physik und Astronomie der Ruhr-Universität, Bochum, Germany (2010)
Abu-Farsakh, H.: Understanding the interplay between thermodynamics and surface kinetics in the growth of dilute nitride alloys from first principles. Dissertation, University of Paderborn, Paderborn, Germany (2010)
Marquardt, O.: Implementation and application of continuum elasticity theory and a k.p-model to investigate optoelectronic properties of semiconductor nanostructures. Dissertation, University of Paderborn, Paderborn, Germany (2010)
Grabowski, B.: Towards ab initio assisted materials design: DFT based thermodynamics up to the melting point. Dissertation, University of Paderborn, Paderborn, Germany (2009)
Torres, E.: DFT Study of Alkanethiol Self-assembled Monolayers on Gold(111) Surfaces. Dissertation, Ruhr-Universität-Bochum, Fakultät für Physik und Astronomie, Bochum, Germany (2009)
Dick, A.: Ab initio STM and STS simulations on magnetic and nonmagnetic metallic surfaces. Dissertation, University of Paderborn, Paderborn, Germany (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
It is very challenging to simulate electron-transfer reactions under potential control within high-level electronic structure theory, e. g. to study electrochemical and electrocatalytic reaction mechanisms. We develop a novel method to sample the canonical NVTΦ or NpTΦ ensemble at constant electrode potential in ab initio molecular dynamics…
Electron microscopes offer unique capabilities to probe materials with extremely high spatial resolution. Recent advancements in in situ platforms and electron detectors have opened novel pathways to explore local properties and the dynamic behaviour of materials.
Here, we aim to develop machine-learning enhanced atom probe tomography approaches to reveal chemical short/long-range order (S/LRO) in a series of metallic materials.
ECCI is an imaging technique in scanning electron microscopy based on electron channelling applying a backscatter electron detector. It is used for direct observation of lattice defects, for example dislocations or stacking faults, close to the surface of bulk samples.