Hickel, T.; Al-Zubi, A.; Neugebauer, J.: Chemical Trends for Phase Transitions in Magnetic Shape Memory Alloys Derived from First Principles. International Conference on Ferromagnetic Shape-Memory Alloys, ICFSMA’11, Dresden, Germany (2011)
Nazarov, R.; Hickel, T.; Neugebauer, J.: H solubility in different steel phases: Influence of alloying elements and strain. HYDRAMICROS Workshop, Otaniemi, Finland (2011)
Nazarov, R.; Hickel, T.; Neugebauer, J.: Thermodynamics and kinetics of hydrogen interaction with point defects. CM-Workshop, Attendorn, Germany (2011)
Dick, A.; Körmann, F.; Abbasi, A.; Hickel, T.; Neugebauer, J.: Towards an ab initio based understanding of deformation mechanisms in high-manganese Steels. 1st Int. Conf. on High Manganese Steels, Seoul, South Korea (2011)
Aydin, U.; Boeck, S.; Hickel, T.; Neugebauer, J.: Hydrogen solution enthalpies derived from first principles: Chemical trends along the series of transition metals. DPG Frühjahrstagung 2011, Dresden, Germany (2011)
Hickel, T.; Al-Zubi, A.; Neugebauer, J.: Chemical Trends for Phase Transitions in Magnetic Shape Memory Alloys Derived from First Principles. TMS2011, San Diego, CA, USA (2011)
von Pezold, J.; Udyansky, A.; Aydin, U.; Hickel, T.; Neugebauer, J.: Strain-Induced Metal-Hydrogen Interactions across the First Transition Series – An Ab Initio Study of Hydrogen Embrittlement. TMS 2011 Meeting, San Diego, CA, USA (2011)
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
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…
Atom probe tomography (APT) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.
Atom probe tomography (APT) is one of the MPIE’s key experiments for understanding the interplay of chemical composition in very complex microstructures down to the level of individual atoms. In APT, a needle-shaped specimen (tip diameter ≈100nm) is prepared from the material of interest and subjected to a high voltage. Additional voltage or laser…