Zhu, L.-F.; Grabowski, B.; Neugebauer, J.: Efficient approach to compute melting properties fully from ab initio with application to Cu. MPIE-ICAMS workshop, Ebernburg, Germany (2017)
Grabowski, B.: Data driven engineering of advanced materials: Combining high precision and scale bridging. Colloquium at Forschungszentrum Jülich, Jülich, Germany (2017)
Grabowski, B.: Development and application of quantum mechanics based simulation tools for the design of modern metallic materials. Seminar at RWTH Aachen, Aachen, Germany (2017)
Grabowski, B.: Discovery of an ordered hexagonal superstructure in an Al–Hf–Sc–Ti–Zr high entropy alloy. Seminar at University of Münster, Münster, Germany (2016)
Grabowski, B.: Discovery of an orderered hexagonal superstructure in an Al–Hf–Sc–Ti–Zr high entropy alloy. Seminar, Universität Münster, Münster, Germany (2016)
Zhu, L.-F.; Grabowski, B.; Neugebauer, J.: Development of methodologies to efficiently compute melting properties fully from ab initio. 2nd German-Dutch Workshop on Computational Materials Science, Domburg, The Netherlands (2016)
Grabowski, B.: Entwicklung von quantenmechanischen Simulationsmethoden für das Design moderner metallischer Werkstoffe. Seminar at University Paderborn, Paderborn, Germany (2016)
Grabowski, B.: Entwicklung von quantenmechanischen Simulationsmethoden für das Design moderner metallischer Werkstoffe. Seminar at Universität Paderborn, Paderborn, Germany (2016)
Körmann, F.; Grabowski, B.; Hickel, T.; Neugebauer, J.: Lattice excitations in magnetic alloys: Recent advances in ab initio modeling of coupled spin and atomic fluctuations. TMS Annual Meeting 2016, Nashville, TN, USA (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…
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…