Tasan, C. C.; Yan, D.; Raabe, D.: A novel, high-resolution approach for concurrent mapping of micro-strain and micro-structure evolution up to damage nucleation. TMS 2015, Orlando, FL, USA (2015)
Morsdorf, L.; Tasan, C. C.; Ponge, D.; Raabe, D.: Lath martensite transformation, µ-plasticity and tempering reactions: potential TEM aids. Seminar at Institute of Nanotechnology (INT), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany (2015)
Herbig, M.; Marceau, R. K. W.; Morsdorf, L.; Raabe, D.: Spinodal Decomposition of Fe–Ni–C Martensite by Room Temperature Redistribution of Carbon Investigated by Correlative ECCI/TEM/APT. PTM 2015, Whistler, BC, Canada (2015)
Kuzmina, M.; Herbig, M.; Ponge, D.; Sandlöbes, S.; Raabe, D.: Linear Complexions: Confined Chemical and Structural States at Dislocations in Metallic Alloys. MRS Fall Meeting & Exhibit, Boston, MA, USA (2015)
Diehl, M.; Shanthraj, P.; Roters, F.; Tasan, C. C.; Raabe, D.: A Virtual Laboratory to Derive Mechanical Properties. M2i Conference "High Tech Materials: your world - our business"
, Sint Michielgestel, The Netherlands (2014)
Haghighat, S. M. H.; Li, Z.; Zaefferer, S.; Reed, R. C.; Raabe, D.: Mesoscale modeling of dislocation climb and primary creep process in single crystal Ni base superalloys. International Workshop on Dislocation Dynamics Simulations, Saclay, France (2014)
Cojocaru-Mirédin, O.; Stoffers, A.; Soni, P. U.; Würz, R.; Raabe, D.: Interfaces in Semiconductors: Application to photovoltaic materials. 61st American Vacuum Society International conference, Baltimore, MA, USA (2014)
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)
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…