Freysoldt, C.; Boeck, S.; Neugebauer, J.: Direct minimization technique for metals in density-functional theory. Physical Review B 79, 241103(R), pp. 1 - 4 (2009)
Qteish, A.; Al-Sharif, A. I.; Fuchs, M.; Scheffler, M.; Boeck, S.; Neugebauer, J.: Role of semicore states in the electronic structure of group-III nitrides: An exact-exchange study. Physical Review B 72, 155317 (2005)
Qteish, A.; Al-Sharif, A. I.; Fuchs, M.; Scheffler, M.; Boeck, S.; Neugebauer, J.: Exact-exchange calculations of the electronic structure of AlN, GaN and InN. Computer Physics Communications 169, p. 28 (2005)
Aydin, U.; Boeck, S.; Hickel, T.; Neugebauer, J.: Hydrogen solution enthalpies derived from first principles: Chemical trends along the series of transition metals. DPG Frühjahrstagung 2011, Dresden, Germany (2011)
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)
Uchdorf, T.: Developing a general purpose database application for multiphysics. Diploma, Fachhochschule Aachen, Standort Jülich, Jülich, Germany (2008)
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.
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.