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
Neugebauer, J.: Application and Implementation of Electronic Structure Methods. Lecture: Ruhr-Universität Bochum, SS 2013 , Bochum, Germany, April 01, 2013 - September 30, 2013
Max Planck scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step. Their results are now published in the journal Nature.
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
Here, we aim to develop machine-learning enhanced atom probe tomography approaches to reveal chemical short/long-range order (S/LRO) in a series of metallic materials.
While Density Functional Theory (DFT) is in principle exact, the exchange functional remains unknown, which limits the accuracy of DFT simulation. Still, in addition to the accuracy of the exchange functional, the quality of material properties calculated with DFT is also restricted by the choice of finite bases sets.
The Atom Probe Tomography group in the Microstructure Physics and Alloy Design department is developing integrated protocols for ultra-high vacuum cryogenic specimen transfer between platforms without exposure to atmospheric contamination.
The structures of grain boundaries (GBs) have been investigated in great detail. However, much less is known about their chemical features, owing to the experimental difficulties to probe these features at the near-atomic scale inside bulk material specimens. Atom probe tomography (APT) is a tool capable of accomplishing this task, with an ability…
Hydrogen embrittlement is one of the most substantial issues as we strive for a greener future by transitioning to a hydrogen-based economy. The mechanisms behind material degradation caused by hydrogen embrittlement are poorly understood owing to the elusive nature of hydrogen. Therefore, in the project "In situ Hydrogen Platform for…
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.