Wu, X.; Erbe, A.; Fabritius, H. O.; Raabe, D.: Ultrastructural Origins of Optical Properties in the Exoskeletons of Beetles. 2011 MRS Fall Meeting, Boston, MA, USA (2011)
Wu, X.; Erbe, A.; Fabritius, H.; Raabe, D.: Structure of the 3D-Photonic Crystals in the Multi-Colored Scales of the Weevil Entimus imperialis (Curculionidae). Ninth International Conference on Photonic and Electromagnetic Crystal Structures (PECS-IX 2010), Granada, Spain (2010)
Wu, X.; Erbe, A.; Fabritius, H.; Raabe, D.: Spectral and angular distribution of light scattered from the elytra of two carabid beetle species. First NanoCharm Workshop on Advanced Polarimetric Instrumentation, Ecole Polytechnique, Palaiseau Cedex, Palaiseau Cedex, France (2009)
Wu, X.: Structure-property-relations of cuticular photonic crystals evolved by different beetle groups (Insecta, Coleoptera). Dissertation, RWTH-Aachen, Aachen, Germany (2014)
New machine learning framework makes metal recycling more sustainable without compromising on mechanical properties. Results now published in journal Science Advances.
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
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…