Lymperakis, L.; Neugebauer, J.: Exploring the 5D configurational space of grain boundaries in aluminun: An ab-initio based multiscale analysis. MRS Fall Meeting, Boston, MA, USA (2006)
Wahn, M.; Neugebauer, J.: Generalized Wannier Functions: An efficient way to construct ab-initio tight-binding orbitals for group-III nitrides. 6th International Conference on Nitride Semiconductors, Bremen, Germany (2005)
Hickel, T.; Grabowski, B.; Neumann, K.; Neumann, K.-U.; Ziebeck, K. R. A.; Neugebauer, J.: Temperature dependent properties of Ni-rich Ni2MnGa. Materials Research Society fall meeting, Boston, MA, USA (2005)
Ismer, L.; Ireta, J.; Neugebauer, J.: Thermodynamic stability of the secondary structure of proteins: A DFT-GGA based vibrational analysis. IPAM-Workshop: Multiscale Modeling in Soft Matter and Bio-Physics, Los Angeles, CA, USA (2005)
Lymperakis, L.; Neugebauer, J.: Ab-initio based multiscale calculations of low-angle grain boundaries in Aluminium. Materials Research Society fall meeting, Boston, MA, USA (2005)
Neugebauer, J.: Application and Implementation of Electronic Structure Methods. Lecture: Ruhr-Universität Bochum, SS 2015, Bochum, Germany, April 01, 2015 - September 30, 2015
Neugebauer, J.: Application and Implementation of Electronic Structure Methods. Lecture: Ruhr-Universität Bochum, SS 2014, Bochum, Germany, April 01, 2014 - September 30, 2014
Neugebauer, J.: Application and Implementation of Electronic Structure Methods. Lecture: Ruhr-Universität Bochum, SS 2013 , Bochum, Germany, April 01, 2013 - September 30, 2013
Neugebauer, J.; Hickel, T.: Moderne Computersimulations-Methoden in der Festkörperphysik. Lecture: Hands-on-Tutorial, Ruhr-Universität Bochum, Bochum, Germany, September 20, 2010 - September 24, 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
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.
Atom probe tomography (APT) is one of the MPIE’s key experiments for understanding the interplay of chemical composition in very complex microstructures down to the level of individual atoms. In APT, a needle-shaped specimen (tip diameter ≈100nm) is prepared from the material of interest and subjected to a high voltage. Additional voltage or laser…
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…
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.