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.: Segregation and Transformation at Lattice Defects as Microstructure Design Toolbox. Materials Science and Engineering Congress, Darmstadt, Germany (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)

Waseda, O.: Machine-Learning assisted Heisenberg model for systems with ill-defined magnetic interactions. Thermec 2018 Conference, Paris, France (2018)

Todorova, M.: Stability and reactivity of solid/liquid interfaces from ab initio calculations. International Workshop on Computational Electrochemistry, Aalto University, Helsinki, Finland (2018)

Todorova, M.: Insights into electrochemical problems from the perspective of semiconductor defect chemistry. International Workshop on Computational Electrochemistry, Aalto University, Helsinki, Finland (2018)

Huber, L.: High-throughput calculations and modelling of solute-GB segregation. Thermec 2018 Conference, Paris, France (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)

Freysoldt, C.: Density-functional modelling of field evaporation. Atom probe tomography and microscopy conference 2018, Gaithersburg, MD, USA (2018)

Malyar, N.; Grabowski, B.; Dehm, G.; Kirchlechner, C.: Strain rate sensitivity of dislocation transmission through individual copper grain boundaries. E-MRS Spring Meeting 2018, Strasbourg, France (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)

Grabowski, B.: Knowledge driven engineering of materials: Development and application of ab initio based scale bridging methods. Seminar at HSU Hamburg, Hamburg, Germany (2018)

Todorova, M.: Insights into corrosion mechanisms from ab initio calculations. BASF “Corrosion Forum", Ludwigshafen, Germany (2018)

Todorova, M.: Atomistic insights into surface stability and reactivity at solid/liquid interfaces from first principles calculations. Technical University Vienna, Vienna, Austria (2018)

Dey, P.: Materials design based on ab initio methods: Coherent microstructure & its impact on real application. Seminar at TU Delft, Delft, The Netherlands (2018)

Neugebauer, J.: From electrons to the design of structurally complex materials. SFB ViCoM conference EPT 2018: From electrons to phase transitions, Vienna, Austria (2018)

Grabowski, B.: Efficient and Accurate Computation of Melting Temperatures and Enthalpies and Entropies of Fusion from Ab Initio. TMS conference, Phoenix, AZ, USA (2018)

Neugebauer, J.: Exploration of Large Ab Initio Data Spaces to Design Structural Materials with Superior Mechanical Properties. Hume-Rothery Award Symposium, TMS 2018, Phoenix, AZ, USA (2018)