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
Data-rich experiments such as scanning transmission electron microscopy (STEM) provide large amounts of multi-dimensional raw data that encodes, via correlations or hierarchical patterns, much of the underlying materials physics. With modern instrumentation, data generation tends to be faster than human analysis, and the full information content is…
The project’s goal is to synergize experimental phase transformations dynamics, observed via scanning transmission electron microscopy, with phase-field models that will enable us to learn the continuum description of complex material systems directly from experiment.