Jaya, B. N.; Kirchlechner, C.; Dehm, G.: Can micro-scale fracture tests provide reliable fracture toughness values? A case study in silicon. Journal of Materials Research 30 (5), pp. 686 - 698 (2015)
Heinz, W.; Robl, W.; Dehm, G.: Influence of initial microstructure on thermomechanical fatigue behavior of Cu films on substrates. Microelectronic Engineering 137, pp. 5 - 10 (2015)
Zhang, Z.; Dehm, G.: Study on the Atomic and Electronic Structure in CrN (VN, TiN) Films using Cs-Corrected TEM. Microscopy and Microanalysis 21 (3), pp. 2079 - 2080 (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)
Imrich, P. J.; Kirchlechner, C.; Motz, C.; Dehm, G.: Differences in deformation behavior of bicrystalline Cu micropillars containing a twin boundary or a large-angle grain boundary. Acta Materialia 73, pp. 240 - 250 (2014)
Harzer, T. P.; Daniel, R.; Mitterer, C.; Dehm, G.; Zhang, Z. L.: Transmission electron microscopy characterization of CrN films on MgO(001). Thin Solid Films 545, pp. 154 - 160 (2013)
Daum, B.; Dehm, G.; Clemens, H.; Rester, M.; Fischer, F. D.; Rammerstorfer, F. G.: Elastoplastic buckling as source of misinterpretation of micropillar tests. Acta Materialia 61 (13), pp. 4996 - 5007 (2013)
Taylor, A. A.; Cordill, M. J.; Bowles, L.; Schalko, J.; Dehm, G.: An elevated temperature study of a Ti adhesion layer on polyimide. Thin Solid Films 531, pp. 354 - 361 (2013)
Li, L. L.; An, X. H.; Imrich, P. J.; Zhang, P.; Zhang, Z. J.; Dehm, G.; Zhang, Z. F.: Microcompression and cyclic deformation behaviors of coaxial copper bicrystals with a single twin boundary. Scripta Materialia 69, pp. 199 - 202 (2013)
Zhang, Z.; Li, H.; Daniel, R.; Mitterer, C.; Dehm, G.: Insights into the atomic and electronic structure triggered by ordered nitrogen vacancies in CrN. Physical Review B 87 (1), pp. 014104-1 - 014104-9 (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
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…
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 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…
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…
Electron microscopes offer unique capabilities to probe materials with extremely high spatial resolution. Recent advancements in in situ platforms and electron detectors have opened novel pathways to explore local properties and the dynamic behaviour of materials.