Pfanner, G.; Freysoldt, C.; Neugebauer, J.: Ab-initio calculations of hyperfine parameters for various Si-dangling bond models. DPG spring meeting, TU Dresden, Germany (2009)
Pfanner, G.; Freysoldt, C.; Neugebauer, J.; Gerstmann, U.: Ab initio EPR parameters for dangling-bond defect complexes in crystalle silion: The role of the Jahn-Teller distortion. Workshop on Advanced EPR for material and solar energy research, Berlin, Germany (2011)
Pfanner, G.; Freysoldt, C.; Neugebauer, J.: EPR parameters of the dangling bond defect in crystalline and amorphous silicon: A DFT-study. Euromat 2011, Montpellier, France (2011)
Pfanner, G.; Freysoldt, C.; Neugebauer, J.: EPR parameters of the dangling bond defect in crystalline and amorphous silicon: A DFT-study. MultiScale Modelling of Amorphous Materials: From Structure to Mechanical Properties, Dublin, Ireland (2011)
Pfanner, G.; Freysoldt, C.; Neugebauer, J.: EPR hyperfine tensors of the dangling bond defect in crystalline and amorphous silicon. Psi-k Conference 2010, Berlin, Germany (2010)
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
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…
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…
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…
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…