Marquardt, O.; Hickel, T.; Neugebauer, J.: Optical properties of semiconductor nanostructures including strain and piezoelectric effects. PARSEM meeting and workshop, Cambridge, UK (2008)
Marquardt, O.; Hickel, T.; Neugebauer, J.: Plane-wave implementation of the k.p-formalism including strain and piezoelectricity to study the optical properties of semiconductor nanostructures. Spring meeting of the German Physical Society (DPG), Berlin, Germany (2008)
Marquardt, O.; Hickel, T.; Neugebauer, J.: Optical properties of semiconductor nanostructures, a PW-approach to real-space properties. MRL seminar at UCSB, UCSB, Santa Barbara, USA (2008)
Marquardt, O.; Hickel, T.; Neugebauer, J.: Application of the 8-band k.p-formalism to semiconductor nanostructures. Forschergruppentreffen Uni Bremen, Bremen, Germany (2007)
Hickel, T.; Grabowski, B.; Neugebauer, J.; Marquardt, O.: Department of Computational Materials Design: Present activities and future research. Guided tour in the MPIE of IMPRS-SurMat, Duesseldorf, Germany (2007)
Marquardt, O.; Hickel, T.; Grabowski, B.; Boeck, S.; Neugebauer, J.: Implementation and application of the k.p-formalism to electronic structure and Coulomb matrix elements. Spring meeting of the German Physical Society (DPG), Regensburg, Germany (2007)
Marquardt, O.; Wahn, M.; Lymperakis, L.; Hickel, T.; Neugebauer, J.: Implementation and application of a multi-scale approach to electronic properties of group III-nitride based semiconductor nanostructures. Workshop on Nitride Based Nanostructures, Berlin, Germany (2007)
Marquardt, O.; Hickel, T.; Neugebauer, J.: A k.p approach to electronic states and Coulomb interaction in semiconductor quantum dots. Forschergruppentreffen Uni Bremen, Bremen, Germany (2007)
Marquardt, O.: An envelope potential approach to semiconductor quantum dots. Seminar at Institut für Theoretische Physik, Universität Bremen, Germany (2006)
Marquardt, O.: Implementation and application of continuum elasticity theory and a k.p-model to investigate optoelectronic properties of semiconductor nanostructures. Dissertation, University of Paderborn, Paderborn, Germany (2010)
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.