Dehm, G.: Mechanische Eigenschaften in kleinen Dimensionen. Lecture: Vorlesung, SS 2013, Ruhr-Universität Bochum, Bochum, Germany, May 06, 2013 - June 24, 2013
Hosseinabadi, R.; Kirchlechner, C.: Dislocation transmission through coherent and incoherent twin boundaries in copper at the micron scale. Dissertation, Ruhr University Bochum (2024)
Rao, J.: Hydrogen effects on the mechanical behaviour of FeCr alloys investigated by in-situ nanoindentation. Dissertation, Ruhr-Universität Bochum (2023)
Jentner, R.: Phase identification and micromechanical characterization of an advanced high-strength low-alloy steel. Dissertation, Ruhr-Universität Bochum (2023)
Ahmad, S.; Mayer, J.: Fundamental investigation of the atomic structures of [111] tilt grain boundaries, their defects and segregation behaviour in pure and alloyed Al. Dissertation, Ruhr-Universität Bochum (2023)
Oellers, T.: Development of combinatorial methods to tailor electrical and mechanical properties of Cu-based thin-film structures. Dissertation, Ruhr-Universität Bochum (2022)
Distl, B.: Phase equilibria and phase transformations of Ti–Al–X (X=Nb, Mo, W) alloys for high-temperature structural applications between 700 and 1300 °C. Dissertation, Ruhr-Universität Bochum, Fakultät für Maschinenbau, Germany (2022)
Wolff-Goodrich, S.: Development of AlCrFeNiTi Compositionally Complex Alloys for High Temperature Structural Applications. Dissertation, Ruhr-Universität Bochum (2021)
Tian, C.: On the damage initiation in dual phase steels: Quantitative insights from in situ micromechanics. Dissertation, Ruhr-Universität Bochum (2021)
Evertz, S.: Quantum mechanically guided design of mechanical properties and topology of metallic glasses. Dissertation, Fakultät für Georessourcen und Materialtechnik, RWTH Aachen (2020)
Li, J.: Probing dislocation nucleation in grains and at Ʃ3 twin boundaries of Cu alloys by nanoindentation. Dissertation, Ruhr-Universität Bochum (2020)
Arigela, V. G.: Development and application of a high-temperature micromechanics stage with a novel temperature measurement approach. Dissertation, Ruhr-Universität Bochum (2020)
Luo, W.: Mechanical properties of the cubic and hexagonal NbCo2 Laves phases studied by micromechanical testing. Dissertation, Ruhr-Universität Bochum (2019)
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
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…
The project’s goal is to synergize experimental phase transformations dynamics, observed via scanning transmission electron microscopy, with phase-field models that will enable us to learn the continuum description of complex material systems directly from experiment.
In order to prepare raw data from scanning transmission electron microscopy for analysis, pattern detection algorithms are developed that allow to identify automatically higher-order feature such as crystalline grains, lattice defects, etc. from atomically resolved measurements.
New product development in the steel industry nowadays requires faster development of the new alloys with increased complexity. Moreover, for these complex new steel grades, it is more challenging to control their properties during the process chain. This leads to more experimental testing, more plant trials and also higher rejections due to…