Ismer, L.; Ireta, J.; Neugebauer, J.: Employing DFT and periodic boundary conditions to study the thermodynamic stability of the secondary structure of proteins. ADIS 2006, Ringberg Castle (2006)
Friák, M.; Neugebauer, J.: Anomalous equilibrium volume change of magnetic Fe–Al crystals. 3rd Discussion Meeting on the Development of Innovative Iron Aluminium Alloys, Mettmann, Germany (2006)
Friák, M.; Neugebauer, J.; Sander, B.; Raabe, D.: Ab initio study of chemical and structural trends of Ti-based binary alloys. Materials Research Society fall meeting, Boston, MA, USA (2006)
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
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
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.
The general success of large language models (LLM) raises the question if they could be applied to accelerate materials science research and to discover novel sustainable materials. Especially, interdisciplinary research fields including materials science benefit from the LLMs capability to construct a tokenized vector representation of a large…
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…