An, D.; Griffiths, T. A.; Konijnenberg, P. J.; Mandal, S.; Wang, Z.; Zaefferer, S.: Correlating the five parameter grain boundary character distribution and the intergranular corrosion behaviour of a stainless steel using 3D orientation microscopy based on mechanical polishing serial sectioning. Acta Materialia 156, pp. 297 - 309 (2018)
Zhang, H.; Pradeep, K. G.; Mandal, S.; Ponge, D.; Raabe, D.: New insights into the austenitization process of low-alloyed hypereutectoid steels: Nucleation analysis of strain-induced austenite formation. Acta Materialia 80, pp. 296 - 308 (2014)
Mandal, S.; Pradeep, K. G.; Zaefferer, S.; Raabe, D.: A novel approach to measure grain boundary segregation in bulk polycrystalline materials in dependence of the boundaries’ five rotational degrees of freedom. Scripta Materialia 81, pp. 16 - 19 (2014)
Mandal, S.; Gross, M.; Raabe, D.; Varnik, F.: Flow heterogeneity and correlations in a sheared hard sphere glass: Insight from computer simulations. In: AIP Conference Proceedings, Vol. 1518, pp. 266 - 271. 4th International Symposium on Slow Dynamics in Complex Systems: Keep Going Tohoku, Sendai, Japan, December 02, 2013 - December 07, 2013. (2013)
Zaefferer, S.; Mandal, S.; Bozzolo, N.: Correlative Measurement of the 5-parameter Grain Boundary Character and its Physical and Chemical Properties. MSE 2014, Darmstadt, Germany (2014)
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)
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…