Marx, V. M.; Kirchlechner, C.; Cordill, M. J.; Dehm, G.: Film thickness effects on the deformation behavior of Cu/Cr thin films on polyimide. TMS 2014: 143rd Annual Meeting & Exhibition, San Diego, CA, USA (2014)
Cordill, M. J.; Glushko, O.; Kreith, J.; Marx, V. M.; Kirchlechner, C.; Zizak, I.; Struntz, T.; Fantner, E.: In-situ squared: multi property thin film measurements during straining. Nano- and Micromechanical Testing in Materials Research and Development IV, Olhão, Portugal (2013)
Marx, V. M.; Kirchlechner, C.; Cordill, M. J.; Dehm, G.: Deformation behavior of a Cr interlayer buried under Cu films on polyimide. GDRi CNRS MECANO General Meeting on the Mechanics of Nano-Objects, MPIE, Düsseldorf, Germany (2013)
Marx, V. M.; Kirchlechner, C.; Zizak, I.; Cordill, M. J.; Dehm, G.: Deformation behavior of thin Cu/Cr films on polyimide. Small Scale Plasticity School, Cargèse, Corsica, France (2013)
Marx, V. M.; Kirchlechner, C.; Zizak, I.; Cordill, M. J.; Dehm, G.: Adhesion behavior of Cu–Cr thin films on polyimide substrate. ECI Conference "Nano- and Micro-Mechanical Testing in Materials Research and Development IV", Olhão, Portugal (2013)
Marx, V. M.; Kirchlechner, C.; Zizak, I.; Cordill, M. J.; Dehm, G.: Adhesion Behavior of Cu–Cr Thin Films on Polyimide Substrate. TMS 2013: 142nd Annual Meeting & Exhibition, San Antonio, TX, USA (2013)
Cordill, M. J.; Marx, V. M.: In-situ Tensile Straining of Metal Films on Polymer Substrates under an AFM. 2012 MRS Fall Meeting & Exhibit, Hynes Convention Center, Boston, MA, USA (2012)
Marx, V. M.; Kirchlechner, C.; Zizak, I.; Dehm, G.; Cordill, M. J.: In-situ fracture study of thin Cu films on polyimide substrate. GDRi MECANO General Meeting 2012, Ecole de Mines, Paris, France (2012)
Marx, V. M.: The mechanical behavior of thin metallic films on flexible polymer substrate. Dissertation, Ruhr-Universität Bochum, Bochum, Germany (2016)
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
Recent developments in experimental techniques and computer simulations provided the basis to achieve many of the breakthroughs in understanding materials down to the atomic scale. While extremely powerful, these techniques produce more and more complex data, forcing all departments to develop advanced data management and analysis tools as well as…
Integrated Computational Materials Engineering (ICME) is one of the emerging hot topics in Computational Materials Simulation during the last years. It aims at the integration of simulation tools at different length scales and along the processing chain to predict and optimize final component properties.
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.
In order to prepare raw data from scanning transmission electron microscopy for analysis, pattern detection algorithms are developed that allow to identify automatically higher-order feature such as crystalline grains, lattice defects, etc. from atomically resolved measurements.