Ebner, A. S.; Brinckmann, S.; Plesiutschnig, E.; Clemens, H.; Pippan, R.; Maier-Kiener, V.: A Modified Electrochemical Nanoindentation Setup for Probing Hydrogen-Material Interaction Demonstrated on a Nickel-Based Alloy. JOM-Journal of the Minerals Metals & Materials Society 72 (5), pp. 2020 - 2029 (2020)
Zhang, Z.; Guo, J.; Dehm, G.; Pippan, R.: In-situ tracking the structural and chemical evolution of nanostructured CuCr alloys. Acta Materialia 138, pp. 42 - 51 (2017)
Kapp, M. W.; Kapp, M. W.; Kirchlechner, C.; Pippan, R.; Dehm, G.: Importance of dislocations pile-ups on the mechanical properties and the Bauschinger effect in micro cantilevers. Journal of Materials Research 30 (6), pp. 791 - 797 (2015)
Rashkova, B.; Faller, M.; Pippan, R.; Dehm, G.: Growth mechanism of Al2Cu precipitates during in situ TEM heating of a HPT deformed Al–3wt.%Cu alloy. Journal of Alloys and Compounds 600, pp. 43 - 50 (2014)
Khorashadizadeh, A.; Raabe, D.; Winning, M.; Pippan, R.: Recrystallization and Grain Growth in Ultrafine-Grained Materials Produced by High Pressure Torsion. Advanced Engineering Materials 13, pp. 245 - 250 (2011)
Heinz, W.; Pippan, R.; Dehm, G.: Investigation of the fatigue behavior of Al thin films with different microstructure. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 527 (29-30), pp. 7757 - 7763 (2010)
Kiener, D.; Motz, C.; Dehm, G.; Pippan, R.: Overview on established and novel FIB based miniaturized mechanical testing using in-situ SEM. International Journal of Materials Research 100 (8), pp. 1074 - 1087 (2009)
Kiener, D.; Grosinger, W.; Dehm, G.; Pippan, R.: A further step towards an understanding of size-dependent crystal plasticity: In situ tenison experiments of miniaturized single-crystal copper samples. Acta Materialia 56 (3), pp. 580 - 592 (2008)
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…
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…
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…
The field of micromechanics has seen a large progress in the past two decades, enabled by the development of instrumented nanoindentation. Consequently, diverse methodologies have been tested to extract fundamental properties of materials related to their plastic and elastic behaviour and fracture toughness. Established experimental protocols are…
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…