Kuzmina, M.; Herbig, M.; Ponge, D.; Choi, P.-P.; Stoffers, A.; Sandlöbes, S.; Raabe, D.: Segregation engineering enables nanostructured dual-phase laminates via solute decoration and phase transformation at lattice defects. Colloquium lecture at Department of Mechanical Engineering, Technische Universiteit Eindhoven, Eindhoven, The Netherlands (2015)
Herbig, M.; Raabe, D.; Li, Y.; Choi, P.-P.; Zaefferer, S.; Goto, S.: Joint crystallographic and chemical characterization at the nanometer scale by correlative TEM and atom probe tomography. Workshop: White-etching layers in ball and roller bearings, Informatik-Zentrum Hörn, Aachen, Germany (2014)
Choi, P.-P.: Characterization of Ni- and Co-based superalloys using Atom Probe Tomography. International Workshop on Modelling and Simulation of Superalloys, Bochum, Germany (2014)
Jägle, E. A.; Tytko, D.; Choi, P.-P.; Raabe, D.: Deformation-induced intermixing in a model multilayer system. Atom Probe Tomography & Microscopy 2014, Stuttgart, Germany (2014)
Li, Y.; Ponge, D.; Choi, P.-P.; Raabe, D.: Segregation of boron at prior austenite grain boundaries in a quenched steel studied by atom probe tomography. Atom Probe Tomography & Microscopy 2014, Stuttgart, Germany (2014)
Herbig, M.; Li, Y.; Morsdorf, L.; Goto, S.; Choi, P.-P.; Kirchheim, R.; Raabe, D.: Recent Advances in Understanding the Structures and Properties of Nanomaterials. Gordon Research Conference on Structural Nanomaterials, The Chinese University of Hong Kong, Hong Kong, China (2014)
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…