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
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.
Ever since the discovery of electricity, chemical reactions occurring at the interface between a solid electrode and an aqueous solution have aroused great scientific interest, not least by the opportunity to influence and control the reactions by applying a voltage across the interface. Our current textbook knowledge is mostly based on mesoscopic…