Stechmann, G.; Zaefferer, S.; Raabe, D.: Molecular statics simulation of CdTe grain boundary structures and energetics using a bond-order potential. Modelling and Simulation in Materials Science and Engineering 26 (4), 045009 (2018)
Zaefferer, S.; Stechmann, G.: Electron backscatter diffraction (EBSD) and electron channelling contrast imaging (ECCI) for the study of thin film solar cells. In: Tagungsband des EFDS Workshops “Morphologie und Mikrostruktur Dünner Schichten und deren Beeinflussung” (Ed. Wetzig, K.). EFDS Workshop “Morphologie und Mikrostruktur Dünner Schichten und deren Beeinflussung”, Dresden, Germany, March 12, 2015. (2015)
Zaefferer, S.; Schemmann, L.; Stechmann, G.; Ram, F.; Archie, F. M. F.: Using orientation microscopy to explore the correlation of materials properties and microstructures. 25th International conference on materials and technology, Portorož, Slovenia (2017)
Konijnenberg, P. J.; An, D.; Stechmann, G.; Zaefferer, S.; Raabe, D.: Recent Developments in the Analysis of Microstructures by 3D-EBSD. Symposium: 3D materials characterization at all length scales and its applications to iron and steel, Düsseldorf, Germany (2017)
Stechmann, G.; Zaefferer, S.: 3-dimensionnal Microstructural Characterization of CdTe-based Solar Cells. Zentrum für Sonnenenergie- und Wasserstoff-Forschung Baden-Württemberg, Stuttgart, Germany (2015)
Zaefferer, S.; Stechmann, G.: Electron backscatter diffraction (EBSD) and electron channelling contrast imaging (ECCI) for the study of thin film solar cells. Workshop Morphologie und Mikrostruktur dünner Schichten, Dresden, Germany (2015)
Konijnenberg, P. J.; Stechmann, G.; Zaefferer, S.; Raabe, D.: Advances in Analysis of 3D Orientation Data Sets Obtained by FIB-EBSD Tomography. 2nd International Congress on 3D Materials Science 2014, Annecy, France (2014)
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
This project will aim at developing MEMS based nanoforce sensors with capacitive sensing capabilities. The nanoforce sensors will be further incorporated with in situ SEM and TEM small scale testing systems, for allowing simultaneous visualization of the deformation process during mechanical tests
The utilization of Kelvin Probe (KP) techniques for spatially resolved high sensitivity measurement of hydrogen has been a major break-through for our work on hydrogen in materials. A relatively straight forward approach was hydrogen mapping for supporting research on hydrogen embrittlement that was successfully applied on different materials, and…
It is very challenging to simulate electron-transfer reactions under potential control within high-level electronic structure theory, e. g. to study electrochemical and electrocatalytic reaction mechanisms. We develop a novel method to sample the canonical NVTΦ or NpTΦ ensemble at constant electrode potential in ab initio molecular dynamics…
Photovoltaic materials have seen rapid development in the past decades, propelling the global transition towards a sustainable and CO2-free economy. Storing the day-time energy for night-time usage has become a major challenge to integrate sizeable solar farms into the electrical grid. Developing technologies to convert solar energy directly into…
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one. With this project, we aim to…