Neugebauer, J.; Hickel, T.: Computerpraktikum: Moderne Computersimulationsmethoden in der Festkörperphysik. Lecture: Blockpraktikum, MPIE, Düsseldorf, Germany, September 20, 2010 - September 24, 2010
Deißenbeck, F.: Development of an ab initio electrochemical cell: Understanding the dielectric properties of interfacial water and Mg dissolution from first principles. Dissertation, Philipps-Universität Marburg, Germany (2024)
Lochner, F.: Interplay of Real Space and Electronic Structure for Iron-Based Superconductors: An ab initio Study. Dissertation, Ruhr-Universität Bochum, Germany (2021)
Surendralal, S.: Development of an ab initio computational potentiostat and its application to the study of Mg corrosion. Dissertation, Ruhr Universität Bochum (2020)
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)
Max Planck scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step. Their results are now published in the journal Nature.
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 computational materials design department in collaboration with the Technical University Darmstadt and the Ruhr University Bochum developed a workflow to calculate phase diagrams from ab-initio. This achievement is based on the expertise in the ab-initio thermodynamics in combination with the recent advancements in machine-learned interatomic…
The structure of grain boundaries (GBs) is dependent on the crystallographic structure of the material, orientation of the neighbouring grains, composition of material and temperature. The abovementioned conditions set a specific structure of the GB which dictates several properties of the materials, e.g. mechanical behaviour, diffusion, and…
The goal of this project is to develop an environmental chamber for mechanical testing setups, which will enable mechanical metrology of different microarchitectures such as micropillars and microlattices, as a function of temperature, humidity and gaseous environment.
Crystal plasticity modelling has gained considerable momentum in the past 20 years [1]. Developing this field from its original mean-field homogenization approach using viscoplastic constitutive hardening rules into an advanced multi-physics continuum field solution strategy requires a long-term initiative. The group “Theory and Simulation” of…
The project Hydrogen Embrittlement Protection Coating (HEPCO) addresses the critical aspects of hydrogen permeation and embrittlement by developing novel strategies for coating and characterizing hydrogen permeation barrier layers for valves and pumps used for hydrogen storage and transport applications.
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.