Dehm, G.: Mechanische Eigenschaften in kleinen Dimensionen. Lecture: Vorlesung: Mechanische Eigenschaften in kleinen Dimensionen (2SWS), Ruhr-Universität Bochum, Germany, May 06, 2014 - May 14, 2014
Dehm, G.: Mechanische Eigenschaften in kleinen Dimensionen. Lecture: Vorlesung, SS 2013, Ruhr-Universität Bochum, Bochum, Germany, May 06, 2013 - June 24, 2013
Brognara, A.: Design of ZrCu thin film metallic glasses with tailored mechanical properties through control of composition and nanostructure. Dissertation, RUB Bochum, Bochum, Germany (2025)
Hosseinabadi, R.: Dislocation transmission through coherent and incoherent twin boundaries in copper at the micron scale. Dissertation, Ruhr University Bochum (2024)
Patil, P.: Influence of plastic anisotropy on the deformation behaviour of Austenitic stainless-steel during single micro-asperity wear. Dissertation, Ruhr-Uiversität-Bochum (2023)
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.: 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)
New machine learning framework makes metal recycling more sustainable without compromising on mechanical properties. Results now published in journal Science Advances.
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
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…
Advanced microscopy and spectroscopy offer unique opportunities to study the structure, composition, and bonding state of individual atoms from within complex, engineering materials. Such information can be collected at a spatial resolution of as small as 0.1 nm with the help of aberration correction.