Heilmaier, M.; Krüger, M.; Pyczak, F.; Schloffer, M.; Stein, F. (Eds.): Intermetallics 2023. Intermetallics 2023, Bad Staffelstein, Germany, October 02, 2023 - October 06, 2023. Conventus Congressmanagement & Marketing GmbH, Jena, Germany (2023), 122 pp.
Heilmaier, M.; Krüger, M.; Palm, M.; Pyczak, F.; Stein, F. (Eds.): Intermetallics 2021. Intermetallics 2021, Kloster Banz, Bad Staffelstein, Germany, October 04, 2021 - October 08, 2021. Conventus Congressmanagement & Marketing GmbH, Jena, Germany (2021), 208 pp.
Heilmaier, M.; Krüger, M.; Mayer, S.; Palm, M.; Stein, F. (Eds.): Proceedings Intermetallics 2019. Intermetallics 2019, Educational Center Kloster Banz, Bad Staffelstein, Germany, September 30, 2019 - October 04, 2019. Conventus Congressmanagement & Marketing GmbH, Jena, Germany (2019)
Heilmaier, M.; Krüger, M.; Mayer, S.; Palm, M.; Stein, F. (Eds.): Proceedings Intermetallics 2017. Intermetallics 2017, Educational Center Kloster Banz, Bad Staffelstein, Germany, October 02, 2017 - October 06, 2017. Congressmanagement & Marketing GmbH, Jena, Germany (2017), 220 pp.
Heilmaier, M.; Krüger, M.; Mayer, S.; Palm, M.; Stein, F. (Eds.): Proceedings: Intermetallics 2015, International Conference. Intermetallics 2015, International Conference, Bad Staffelstein, Germany, September 28, 2015 - October 02, 2015. Congressmanagement & Marketing GmbH, Jena, Germany (2015), 116 pp.
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
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…
At finite temperatures lattice vibrations and magnetic fluctuations are coexisting. To study potential coupling effects, a method is required, which considers both, the spin and the lattice degrees of freedom, simultaneously. We develop and implement such a method by combining atomistic spin dynamics with ab initio molecular dynamics.
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.
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…
Combining concepts of semiconductor physics and corrosion science, we develop a novel approach that allows us to perform ab initio calculations under controlled potentiostat conditions for electrochemical systems. The proposed approach can be straightforwardly applied in standard density functional theory codes.