Dey, P.; Nazarov, R.; Hickel, T.; Neugebauer, J.: Ab-initio study of hydrogen trapping by kappa-carbides in an austenitic Fe matrix. DPG Frühjahrstagung, Dresden, Germany (2014)
Hickel, T.; Nazarov, R.; Neugebauer, J.: Aspekte der Wasserstoffversprödung von Stählen: Verständnisgewinn durch quantenmechanische Simulationen. AKE Workshop, DECHEMA, Frankfurt a. M, Germany (2013)
Dey, P.; Nazarov, R.; Friák, M.; Hickel, T.; Neugebauer, J.: kappa-carbides as precipitates in austenitic steels: Ab initio study of structural, magnetic and Interface properties. EUROMAT 2013, Sevilla, Spain (2013)
Nazarov, R.; Hickel, T.; Neugebauer, J.: Consequences of H-Vacancy Interactions: An Ab Initio Insight. International Hydrogen Conference, Jackson Lake Lodge, Moran, WY, USA (2012)
Nazarov, R.; Hickel, T.; Neugebauer, J.: Accelerated self-diffusion in fcc metals due to H induced superabundant vacancies. TMS 2012 Meeting, Orlando, FL, USA (2012)
Nazarov, R.; Hickel, T.; Neugebauer, J.: Influence of alloying elements on solubility and diffusivity of H in different steel phases. HYDRAMYCROS Workshop, Ghent, Belgium (2012)
Nazarov, R.; Hickel, T.; Neugebauer, J.: Thermodynamics and kinetics of H interaction with vacancies in fcc metals. ADIS 2012 Workshop, Ringberg, Germany (2012)
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)
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
Complex simulation protocols combine distinctly different computer codes and have to run on heterogeneous computer architectures. To enable these complex simulation protocols, the CM department has developed pyiron.
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…