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
The project focuses on development and design of workflows, which enable advanced processing and analyses of various data obtained from different field ion emission microscope techniques such as field ion microscope (FIM), atom probe tomography (APT), electronic FIM (e-FIM) and time of flight enabled FIM (tof-FIM).
This project will aim at addressing the specific knowledge gap of experimental data on the mechanical behavior of microscale samples at ultra-short-time scales by the development of testing platforms capable of conducting quantitative micromechanical testing under extreme strain rates upto 10000/s and beyond.
The development of pyiron started in 2011 in the CM department to foster the implementation, rapid prototyping and application of the highly advanced fully ab initio simulation techniques developed by the department. The pyiron platform bundles the different steps occurring in a typical simulation life cycle in a single software platform and…
This work led so far to several high impact publications: for the first time nanobeam diffraction (NBD) orientation mapping was used on atom probe tips, thereby enabling the high throughput characterization of grain boundary segregation as well as the crystallographic identification of phases.
Smaller is stronger” is well known in micromechanics, but the properties far from the quasi-static regime and the nominal temperatures remain unexplored. This research will bridge this gap on how materials behave under the extreme conditions of strain rate and temperature, to enhance fundamental understanding of their deformation mechanisms. The…
The prediction of materials properties with ab initio based methods is a highly successful strategy in materials science. While the working horse density functional theory (DFT) was originally designed to describe the performance of materials in the ground state, the extension of these methods to finite temperatures has seen remarkable…
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.
We plan to investigate the rate-dependent tensile properties of 2D materials such as HCP metal thin films and PbMoO4 (PMO) films by using a combination of a novel plan-view FIB based sample lift out method and a MEMS based in situ tensile testing platform inside a TEM.