Hickel, T.; Zendegani, A.; Körmann, F.; Neugebauer, J.: Energetics of non-stoichiometric stacking faults in Fe–Nb alloys: An ab initio study. TMS 2019 Annual Meeting, San Antonio, TX, USA (2019)
Neugebauer, J.; Surendralal, S.; Todorova, M.: Extending First-Principles Calculations to Model Electrochemical Reactions at the Solid-Liquid Interface. Towards Reality in Nanoscale Materials X, Levi, Finnland (2019)
Neugebauer, J.; Janßen, J.; Körmann, F.; Hickel, T.; Grabowski, B.: Exploration of large ab initio data spaces to design materials with superior mechanical properties. Physics and Theoretical Division Colloquium, Los Alamos, NM, USA (2019)
Todorova, M.; Yoo, S.-H.; Surendralal, S.; Neugebauer, J.: Modelling electrochemical solid/liquid interfaces by first principles calculations. 19th International Workshop on Computational Physics and Material Science: Total Energy and Force Methods, ICTP, Trieste, Italy (2019)
Ikeda, Y.; Körmann, F.; Neugebauer, J.: Impact of chemical compositions and interstitial alloying on the stacking fault energy of CrMnFeCoNi-based HEAs from first principles. The 2nd International Conference on High-Entropy Materials , Jeju, South Korea (2018)
Neugebauer, J.: Exploration of large ab initio data spaces to design structural materials with superior mechanical properties. Multiscale Materials Modeling (MMM 2018) Conference, Osaka, Japan (2018)
Neugebauer, J.: Fundamental compositional limitations in the thin film growth of metastable alloys. 3rd Conference on Advanced Functional Materials (AFM2018), Vildmarkshotellet Kolmården, Norrköping, Sweden (2018)
Neugebauer, J.: Modelling thermodynamics and kinetics of general grain boundaries: Challenges and successes. Thermec 2018 Conference, Paris, France (2018)
Neugebauer, J.: First-principles approaches for charged defects in low dimensional systems. Conference on Physics of Defects in Solids, Trieste, Italy (2018)
Neugebauer, J.: Understanding fundamental doping and stoichiometry limits in semiconductors by ab initio modelling. EDS 2018 Conference, Thessaloniki, Greece (2018)
Zhu, L.-F.; Grabowski, B.; Neugebauer, J.: Efficient approach to compute melting properties fully from ab initio with application to Cu. CALPHAD XLVII Conference, Querétaro, México (2018)
Neugebauer, J.: Machine learning as tool to enhance ab initio based alloy design. Workshop: “Machine learning and data analytics in advanced metals processing", Manchester, UK (2018)
International researcher team presents a novel microstructure design strategy for lean medium-manganese steels with optimized properties in the journal Science
In this project, we study the atomistic structure and phase transformations of tilt grain boundaries in Cu by using aberration-corrected scanning transmission electron microscope to build a relation to the transport properties of the grain boundaries via macroscopic tracer diffusion experiments. In the meantime, we address the impact of the grain…
Because of their excellent corrosion resistance, high wear resistance and comparable low density, Fe–Al-based alloys are an interesting alternative for replacing stainless steels and possibly even Ni-base superalloys. Recent progress in increasing strength at high temperatures has evoked interest by industries to evaluate possibilities to employ…
The goal of this project is to optimize the orientation mapping technique using four-dimensional scanning transmission electron microscopy (4D STEM) in conjunction with precession electron diffraction (PED). The development of complementary metal oxide semiconductor (CMOS)-based cameras has revolutionized the capabilities in data acquisition due to…
The nano-structure of surfaces influences the interactions and reactions occurring on it, which has strong impacts for applications in diverse fields, such as wetting phenomena, electrochemistry or biotechnology. We study these nanoscale structures on functional interfaces by nano-spectroscopy. Furthermore we try to understand their influence on…