Publications of Jörg Neugebauer

Todorova, M.; Surendralal, S.; Neugebauer, J.: Degradation processes at surfaces and interfaces. ISAM4: The fourth International Symposium on Atomistic and Multiscale Modeling of Mechanics and Multiphysics, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany (2019)

Neugebauer, J.; Huber, L.; Körmann, F.; Grabowski, B.; Hickel, T.: Ab initio input for multiphysics models: Accuracy, performance and challenges. ISAM4: The fourth International Symposium on Atomistic and Multiscale Modeling of Mechanics and Multiphysics, Erlangen, Germany (2019)

Neugebauer, J.: Machine Learning in Materials: Screening and Discovery. Gordon Research Conference Physical Metallurgy „Coupling Computation, Data Science and Experiments in Physical Metallurgy“, Manchester, NH, USA (2019)

Todorova, M.; Yoo, S.-H.; Surendralal, S.; Neugebauer, J.: Ab initio approach to electrochemisty and corrosion. Computational Materials Chemistry Workshop, Telluride, CO, USA (2019)

Hickel, T.; Gupta, A.; Neugebauer, J.; Kavakbasi, B. T.; Buranova, Y.; Kulitskiy, V. A.; Wilde, G.; Divinski, S. V.: Precipitate-induced nonlinearities of solute diffusion in Al-based alloys. 15th Diffusion in Solids and Liquids (DSL) Conference, Athens, Greece (2019)

Todorova, M.; Surendralal, S.; Neugebauer, J.: Building an ab-initio potentiostat in a standard DFT code with periodic boundary conditions. ELRC2019 - IPAM reuniuon workshop, Lake Arrowhead, CA, USA (2019)

Huber, L.; Hadian, R.; Grabowski, B.; Neugebauer, J.: Computing and modelling solute-grain boundary interaction. Canadian Materials Science Conference, Vancouver, Canada (2019)

Hickel, T.; Dutta, B.; Stockem, I.; Körmann, F.; Neugebauer, J.: Ab initio design strategies for NiMn-based FSMA. 6th Int. Conf. of Ferromagnetic Shape-Memory Alloys CFSMA, Prague, Czech Republic (2019)

Kwiatkowski da Silva, A.; Ponge, D.; Kamachali, R. D.; Gault, B.; Neugebauer, J.; Raabe, D.: Thermodynamics of Grain Boundary Segregation and Interfacial Spinodal: A CALPHAD-based Modeling Approach and Near-atomic Scale Characterization. CALPHAD XLVIII, Singapore, Singapore (2019)

Zhu, L.-F.; Janßen, J.; Grabowski, B.; Neugebauer, J.: Melting parameters from ab initio using the fast statistical sampling TOR-TILD approach: Applications to Al and Ni. CALPHAD XLVIII CONFERENCE, Singapore, Singapore (2019)

Raabe, D.; Ponge, D.; Kwiatkowski da Silva, A.; Makineni, S. K.; Katnagallu, S.; Stephenson, L.; Kontis, P.; Wu, X.; Freysoldt, C.; Neugebauer, J. et al.; Gault, B.: Chemistry at Lattice Defects Probed at Atomic Scale. The 53rd Annual Meeting of the Israel Society for Microscopy, Tel Aviv, Israel, Tel Aviv, Israel (2019)

Raabe, D.; Ponge, D.; Kwiatkowski da Silva, A.; Makineni, S. K.; Katnagallu, S.; Stephenson, L.; Kontis, P.; Wu, X.; Freysoldt, C.; Neugebauer, J. et al.; Gault, B.: Interaction of Chemistry and Structure at Lattice Defects at Atomic Scale. Russell Berrie Nanotechnology Institute, Technion, Haifa, Israel, Haifa, Israel (2019)

Raabe, D.; Katnagallu, S.; Stephenson, L.; Balachandran, S.; Freysoldt, C.; Neugebauer, J.; Gault, B.: Imaging single vacancies and atoms using joint FIM and APT experiments. Conference on Possibilities and Limitations of Quantitative Materials Modeling and Characterization, Bernkastel-Kues, Germany (2019)

Neugebauer, J.; Janßen, J.; Körmann, F.; Hickel, T.; Grabowski, B.: Exploiting large ab initio data spaces to design materials with superior mechanical propertiess. 2019 BIOVIA User Conference, Düsseldorf, Germany (2019)

Raabe, D.; Ponge, D.; Kwiatkowski da Silva, A.; Makineni, S. K.; Katnagallu, S.; Stephenson, L.; Freysoldt, C.; Neugebauer, J.; Gault, B.: Chemistry and Structure of Lattice Defects. Physics Colloquium, Faculty of Physics, University Duisburg-Essen, Duisburg, Germany (2019)

Todorova, M.; Yoo, S.-H.; Surendralal, S.; Neugebauer, J.: A fully ab initio approach to modelling electrochemical solid/liquid interfaces. Chemiekolloquium der Johannes Kepler Universität Linz, Linz, Austria (2019)

Neugebauer, J.; Janßen, J.; Hickel, T.: Automated uncertainty analysis and quantification for high-precision DFT calculations. Workshop "Precision Quantification in DFT", Louvaine-la-Neuve, Belgien (2019)

Neugebauer, J.: Automizing work flows in computational materials design. Traceability and securing of results as essential challenges of research in the digital age, Berlin, Germany (2019)

Tehranchi, A.; Hickel, T.; Neugebauer, J.: Atomistic simulations of hydrogen-defect interactions in metals. Workshop "Hydrogen in Metals - current understanding and future needs", St Anne's College, Oxford, UK (2019)

Hickel, T.; Janßen, J.; Sözen, H. I.; Körmann, F.; Surendralal, S.; Todorova, M.; Lysogorskiy, Y.; Drautz, R.; Neugebauer, J.: High-throughput optimization of finite temperature phase stabilities: Concepts and application. DPG Frühjahrstagung der Sektion Kondensierte Materie, Regensburg, Germany (2019)