Stechmann, G.; Zaefferer, S.; Konijnenberg, P. J.: Microstructural and Electronic Characterization of CdTe Thin Film Solar Cells: A Correlative SEM-Based Approach. IAMNano, Port Elizabeth, South Africa (2016)
Stechmann, G.; Zaefferer, S.: Microstructural and Electronic Characterization of CdTe Thin Film Solar Cells: A Correlative SEM-Based Approach. IAMNano, Hamburg, Germany (2015)
Zaefferer, S.; Mandal, S.; Stechmann, G.; Bozzolo, N.: Correlative measurement of the 5-parameter grain boundary character and its physical and chemical properties. RMS EBSD 2014, London, UK (2014)
Stechmann, G.: A Study on the Microstructure Formation Mechanisms and Functional Properties of CdTe Thin Film Solar Cells Using Correlative Electron Microscopy and Atomistic Simulations. Dissertation, RWTH Aachen, Aachen, Germany (2017)
Stechmann, G.: Compatibility between Molten Salts and Materials in Concentrated Solar Power Plants. Diploma, École Nationale Supérieure de Chimie de Lille, Lille, France (2013)
Stechmann, G.: Crystallographic and Electronic Characterization of Grain Boundaries in Cd–Te Thin Film Solar Cell. Master, University of Lille I, University of Science and Technology, Lille, France (2013)
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 Atom Probe Tomography group in the Microstructure Physics and Alloy Design department is developing integrated protocols for ultra-high vacuum cryogenic specimen transfer between platforms without exposure to atmospheric contamination.
Many important phenomena occurring in polycrystalline materials under large plastic strain, like microstructure, deformation localization and in-grain texture evolution can be predicted by high-resolution modeling of crystals. Unfortunately, the simulation mesh gets distorted during the deformation because of the heterogeneity of the plastic…
Here, we aim to develop machine-learning enhanced atom probe tomography approaches to reveal chemical short/long-range order (S/LRO) in a series of metallic materials.
While Density Functional Theory (DFT) is in principle exact, the exchange functional remains unknown, which limits the accuracy of DFT simulation. Still, in addition to the accuracy of the exchange functional, the quality of material properties calculated with DFT is also restricted by the choice of finite bases sets.
Complex simulation protocols combine distinctly different computer codes and have to run on heterogeneous computer architectures. To enable these complex simulation protocols, the CM department has developed pyiron.
The structures of grain boundaries (GBs) have been investigated in great detail. However, much less is known about their chemical features, owing to the experimental difficulties to probe these features at the near-atomic scale inside bulk material specimens. Atom probe tomography (APT) is a tool capable of accomplishing this task, with an ability…