Arigela, V. G.; Oellers, T.; Ludwig, A.; Kirchlechner, C.; Dehm, G.: High temperature mechanical characterization of binary Cu–X alloys produced by Combinatorial Synthesis. International conference on metallurgical coatings and thin films (ICMCTF) 2019, San Diego, CA, USA (2019)
Garzón-Manjón, A.; Meyer, H.; Grochla, D.; Ludwig, A.; Scheu, C.: Insights in the structure and composition of nanoparticles for energy applications. Advanced Structural and Functional Materials, Krakow, Poland (2018)
Arigela, V. G.; Oellers, T.; Ludwig, A.; Kirchlechner, C.; Dehm, G.: High temperature mechanical characterization of Copper-Silver- and Copper-Zirconium thin film libraries produced by combinatorial materials synthesis approach. Gordon Research Seminar on Thin Film and Small Scale Mechanical Behavior (GRS) 2018, Lewiston, ME, USA (2018)
Arigela, V. G.; Oellers, T.; Ludwig, A.; Kirchlechner, C.; Dehm, G.: Mechanical characterization of copper thin films produced by photolithography with a novel microscale high temperature loading rig. The International Conference on Experimental Mechanics, (ICEM) 2018, Brussels, Belgium (2018)
Garzón-Manjón, A.; Zahn, G.; Kuchshaus, C.; Ludwig, A.; Scheu, C.: Observation of the Structural Transformation of Multinary Nanoparticles by In-situ Transmission Electron Microscopy. 13th Multinational Congress on Microscopy (MCM2017), Rovinj, Croatia (2017)
Arigela, V. G.; Oellers, T.; Ludwig, A.; Kirchlechner, C.; Dehm, G.: Setup of a microscale high temperature loading rig for micro-fracture mechanics with a novel temperature measurement approach. Advanced nano-mechanical techniques for academic and industrial research, Aachen, Germany (2018)
Arigela, V. G.; Oellers, T.; Ludwig, A.; Kirchlechner, C.; Dehm, G.: Temperature dependent mechanical characterization of sputtered Copper-Silver thin film tensile specimens produced by photolithography. Materials Chain International Conference, Bochum, Germany, Bochum, Germany (2018)
Arigela, V. G.; Oellers, T.; Ludwig, A.; Kirchlechner, C.; Dehm, G.: High temperature mechanical characterization of Copper-Silver- and Copper-Zirconium thin film libraries produced by combinatorial materials synthesis approach. GDRi Mecano General School 2018, Cargese, Corsica, France (2018)
Arigela, V. G.; Oellers, T.; Ludwig, A.; Kirchlechner, C.; Dehm, G.: High temperature mechanical characterization of Copper-Silver- and Copper-Zirconium thin film libraries produced by combinatorial materials synthesis approach. Gordon Research Seminar on Thin Film and Small Scale Mechanical Behavior (GRS) 2018, Lewiston, ME, USA (2018)
Garzón-Manjón, A.; Zahn, G.; Kuchshaus, C.; Ludwig, A.; Scheu, C.: In-situ Transmission Electron Microscopy on the Transformation Behaviour of Multinary Nanoparticles. International Congress Engineering of Advanced Materials (ICEAM 2017), Erlangen, Germany (2017)
Garzón-Manjón, A.; Zahn, G.; Kuchshaus, C.; Zhang, S.; Ludwig, A.; Scheu, C.: Observation of the Structural Transformation of Multinary Nanoparticles by In-situ Transmission Electron Microscopy. EMAT Workshop on Transmission Electron Microscopy, University of Antwerp, Antwerp, Belgium (2017)
Oellers, T.: Development of combinatorial methods to tailor electrical and mechanical properties of Cu-based thin-film structures. Dissertation, Ruhr-Universität Bochum (2022)
Arigela, V. G.: Development and application of a high-temperature micromechanics stage with a novel temperature measurement approach. Dissertation, Ruhr-Universität Bochum (2020)
Abdellaoui, L.: Correlation of microstructures and thermal conductivity of the thermoelectric material Ag16.7Sb30Te53.3. Dissertation, Ruhr-Universität Bochum (2019)
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
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.
The general success of large language models (LLM) raises the question if they could be applied to accelerate materials science research and to discover novel sustainable materials. Especially, interdisciplinary research fields including materials science benefit from the LLMs capability to construct a tokenized vector representation of a large…