Scheu, C.: Grain growth and dewetting of thin Al films on (0001) Al2O3 substrates. 3 Phase, Interface, Component Systems (PICS), Centre Interdisciplinaire de Nanoscience de Marseille (CINaM), Marseille, France (accepted)
Scheu, C.: In-situ Transmission Electron Microscopy Observation of Heat-Induced Structural Changes of 3D Nb3O(OH) Networks. Electronic Materials and Applications 2017 (EMA), Orlando, FL, USA (2017)
Scheu, C.: Insights into structural and functional properties of Nb3O7(OH) and TiO2 nanoarrays. European Materials Research Society’s (EMRS) Fall Meeting, Warsaw, Poland (2016)
Scheu, C.: Transmission electron microscopy – a versatile tool to study the microstructure of HT-PEMFC. Materials Science 2016, Atlanta, GA, USA (2016)
Scheu, C.: Insights into structural and functional properties of nano-structured electrodes for energy and fuel generating devices. Talk at Helmholtz‐Zentrum Geesthacht, Geesthacht, Germany (2016)
Scheu, C.: Correlative STEM & Atom Probe Tomography (ATP): Insights in the k-carbide/austenite interface. Workshop on “New trends in electron microscopy”, Ringberg Castle, Kreuth am Tegernsee, Germany (2016)
Hengge, K.; Heinzl, C.; Perchthaler, M.; Scheu, C.: Insights into degradation processes in WO3-x based anodes of HT-PEMFCs via electron microscopic techniques. Fuel Cells Science and Technology 2016 , Glasgow, Scotland, UK (2016)
Folger, A.; Wisnet, A.; Scheu, C.: Defects in as-grown vs. annealed rutile titania nanowires and their effect on properties. EMC 2016, 16th European Microscopy Congress, Lyon, France (2016)
Hengge, K.; Heinzl, C.; Perchthaler, M.; Welsch, M. T.; Scheu, C.: Template-free synthesized high surface area 3D networks of Pt on WO3-x – a promising alternative for H2 oxidation in fuel cell application. 2016 MRS Fall Meeting, Boston, MA, USA (2016)
Hieke, S. W.; Dehm, G.; Scheu, C.: Investigation of solid state dewetting phenomena of epitaxial Al thin films on sapphire using electron microscopy. The 16th European Microscopy Congress (EMC 2016), Lyon, France (2016)
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 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…
The aim of the work is to develop instrumentation, methodology and protocols to extract the dynamic strength and hardness of micro-/nano- scale materials at high strain rates using an in situ nanomechanical tester capable of indentation up to constant strain rates of up to 100000 s−1.
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…
In 2020, an interdepartmental software task force (STF) was formed to serve as a forum for discussion on topics related to software development and digital workflows at the MPIE. A central goal was to facilitate interdepartmental collaboration by co-developing and integrating workflows, aligning internally developed software, and rolling out…
The balance between different contributions to the high-temperature heat capacity of materials can hardly be assessed experimentally. In this study, we develop computationally highly efficient ab initio methods which allow us to gain insight into the relevant physical mechanisms. Some of the results have lead to breakdown of the common…