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
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…
Complex simulation protocols combine distinctly different computer codes and have to run on heterogeneous computer architectures. To enable these complex simulation protocols, the CM department has developed pyiron.
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.