Dutta, B.; Hickel, T.; Neugebauer, J.: Coupling of lattice dynamics and magnetism in magnetic shape memory alloys: Consequences for phase diagrams. Asia Sweden meeting on understanding functional materials from lattice dynamics (ASMFLD) conference, Indian Institute of technology Guwahati, Guwahati, India (2014)
Dutta, B.; Körmann, F.; Dey, P.; Hickel, T.; Neugebauer, J.: Ab-initio based prediction of chemical trends for phase transitions in magnetic shape memory alloys. Weekly Seminar, Interdisciplinary Centre for Advanced Materials Simulation (ICAMS), Ruhr-Universität Bochum, Bochum, Germany (2013)
Dutta, B.; Hickel, T.; Neugebauer, J.: Ab-initio based prediction of chemical trends in magnetic shape memory alloys. Mini Workshop on Lattice Dynamics, Uppsala University, Uppsala, Sweden (2013)
Dutta, B.; Hickel, T.; Neugebauer, J.: Phase transitions in magnetic shape memory alloys: Ab-initio based prediction of chemical trends. Fourth International Conference on Ferromagnetic Shape Memory Alloys (ICFSMA'13), Boise, ID, USA (2013)
Dutta, B.; Hickel, T.; Neugebauer, J.: Investigation of point defects in Heusler alloys: An ab initio study. Bunsen Colloquium at Institute of Physical Chemistry, RWTH Aachen University, Aachen, Germany (2016)
Dutta, B.; Hickel, T.; Olsen, R. J.; Larson, B. C.; Stocks, M.; Samolyuk, G. D.; Neugebauer, J.: Towards a microscopic understanding of lattice vibrations in disordered systems: implications for high entropy alloys. International Workshop on Ab initio Description of Iron and Steel: Mechanical Properties (ADIS 2016), Ringberg Castle, Tegernsee, Germany (2016)
Dutta, B.; Körmann, F.; Alling, B.; Grabowski, B.; Hickel, T.; Neugebauer, J.: Interaction of magnetic and lattice degrees of freedom. International Workshop on Ab initio Description of Iron and Steel: Mechanical Properties (ADIS 2016), Ringberg Castle, Tegernsee, Germany (2016)
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
This project will aim at developing MEMS based nanoforce sensors with capacitive sensing capabilities. The nanoforce sensors will be further incorporated with in situ SEM and TEM small scale testing systems, for allowing simultaneous visualization of the deformation process during mechanical tests
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…
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…