Leineweber, A.; Stein, F.: Comment on Hajra et al.: “High-temperature phase stability and phase transformations of Niobium-Chromium Laves phase: Experimental and first-principles calculation”. Materials and Design 247, 113373 (2024)
Stein, F.; He, C.: About the Alkemade Theorem and the Limits of its Applicability for the Construction of Ternary Liquidus Surfaces. Journal of Phase Equilibra and Diffusion 45, pp. 489 - 501 (2024)
Gedsun, A.; Stein, F.; Palm, M.: Phase Equilibria in the Fe-Al-Nb(-B) System at 700 degrees C. Journal of Phase Equilibra and Diffusion 43 (4), pp. 409 - 418 (2022)
Distl, B.; Hauschildt, K.; Rashkova, B.; Pyczak, F.; Stein, F.: Phase Equilibria in the Ti-Rich Part of the Ti–Al–Nb System-Part I: Low-Temperature Phase Equilibria Between 700 and 900 °C. Journal of Phase Equilibra and Diffusion 43, pp. 355 - 381 (2022)
Distl, B.; Hauschildt, K.; Pyczak, F.; Stein, F.: Phase Equilibria in the Ti-Rich Part of the Ti–Al–Nb System-Part II: High-Temperature Phase Equilibria Between 1000 and 1300 °C. Journal of Phase Equilibra and Diffusion 43, pp. 554 - 575 (2022)
Gedsun, A.; Stein, F.; Palm, M.: Development of new Fe–Al–Nb(–B) alloys for structural applications at high temperatures. MRS Advances 6, pp. 176 - 182 (2021)
Stein, F.; Leineweber, A.: Laves phases: a review of their functional and structural applications and an improved fundamental understanding of stability and properties. Journal of Materials Science 56, pp. 5321 - 5427 (2021)
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…
Ever since the discovery of electricity, chemical reactions occurring at the interface between a solid electrode and an aqueous solution have aroused great scientific interest, not least by the opportunity to influence and control the reactions by applying a voltage across the interface. Our current textbook knowledge is mostly based on mesoscopic…