Dick, A.; Neugebauer, J.: Ab initio STM and STS simulations on magnetic and nonmagnetic metallic surfaces. Computational Materials Science Workshop, Goslar, Germany (2007)
Kim, O.; Friák, M.; Neugebauer, J.: Ab-initio study of formation energies in steel and their relations to the solubility limits of carbon in austenite and ferrite. PAW workshop 2007, Goslar, Germany (2007)
Uijttewaal, M.; Hickel, T.; Neugebauer, J.: Phase transformation of Ni_2MnGa shape memory alloy from first principles: The pre-martensitic transition. PAW workshop 2007, Goslar, Germany (2007)
Uijttewaal, M.; Hickel, T.; Grabowski, B.; Neugebauer, J.: First ab initio determination of the phase transformation of Ni_{2}MnGa: The pre-martensitic transition. e-MRS 2007 Fall Meeting, Warsaw, Poland (2007)
Neugebauer, J.: First-principles calculations on CVD growth and doping in group-III-nitride semiconductors. EuroCVD16 - Sixteenth European Conference on Chemical Vapor Deposition, The Hague, The Netherlands (2007)
Grabowski, B.; Hickel, T.; Neugebauer, J.: From ab initio to materials properties: Accuracy and error bars of DFT thermodynamics. Euromat 2007, European Congress on Advanced Materials and Processes, Nürnberg, Germany (2007)
Hickel, T.; Grabowski, B.; Uijttewaal, M.; Neugebauer, J.: Ab initio prediction of structural and thermodynamic properties of magnetic shape memory alloys. Euromat 2007, European Congress on Advanced Materials and Processes, Nürnberg, Germany (2007)
Friák, M.; Neugebauer, J.: Ab initio study of the anomalous volume-composition effect in Fe–Al and Fe–Ga alloys. Euromat 2007, Nürnberg, Germany (2007)
Uijttewaal, M.; Hickel, T.; Neugebauer, J.: Ab initio investigation of temperature dependent effects in Ni_{2}MnGa: The pre-martensitic transition. Convention of the SPP 1239, Castle Eichholz in Wesseling, Germany (2007)
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…