Neugebauer, J.: Boosting ab initio-based materials discovery by machine learning. MPCDF Workshop “High-performance computing, artificial intelligence, and data-intensive applications in the Max-Planck Society”, Schloss Ringberg, Tegernsee, Germany (2023)

Zhou, X.; Ahmadian, A.; Hickel, T.; Gault, B.; Ophus, C.; Liebscher, C.; Dehm, G.; Raabe, D.: Atomic Scale Analysis Reveals the Interplay between Grain Boundary Structure and Composition. MRS 2023, Boston, MA, USA (2023)

Neugebauer, J.: Boosting ab initio-based materials discovery by machine learning. AI MSE 2023 - Artificial Inteligence in Materials Science and Engineering, Saarbrücken, Germany (2023)

Todorova, M.; Surendralal, S.; Deißenbeck, F.; Wippermann, S. M.; Neugebauer, J.: Insights into electrochemical solid/liquid interfaces under potential control from first principles and atomistic calculations. TACO Colloquium, Universität Wien, Vienna, Austria (2023)

Bitzek, E.: Towards High-Throughput Atomistic Microstructure – Mechanics Simulations. Ab initio Description of Iron and Steel (ADIS2023): Digitalization and Workflows, Schloss Ringberg, Germany (2023)

Bitzek, E.: Atomistic Simulations, Mesoscale Modelling and Micromechanical Testing of Crack – Microstructure Interactions. XVII International Conference on Computational Plasticity, Fundamentals and Applications (COMPLAS 2023), Barcelona, Spain (2023)

Freysoldt, C.; Katnagallu, S.; Bhatt, S.; Saxena, A.; Ashton, M. W.: Pushing the limits of APT and FIM by pushing theoretical approaches. APT & M 2023, Leuven, Belgium (2023)

Neugebauer, J.; Freysoldt, C.; Todorova, M.; Van de Walle, C. G.: Charged defects in semiconductors and beyond. 32nd International Conference on Defects in Semiconductors, Rehoboth Beach, DE, USA (2023)

Neugebauer, J.; Körmann, F.; Ferrari, A.: Navigating and exploiting the high-dimensional configuration spaces of high entropy alloys. The 11th International Conference on Multiscale Materials Modeling, Prague, Czech Republic (2023)

Zhu, L.-F.: Towards high throughput melting property calculations with ab initio accuracy aided by machine learning potential. The third generation (3G) Calphad at KTH, Stockholm, Sweden (2023)

Freysoldt, C.; Saxena, A.; Wang, N.; Sreekala, L.: Perspectives for machine learning applied to data-rich experiments on complex materials. Materials Chain International Conference, Bochum, Germany (2023)

Neugebauer, J.: Capturing the chemical complexity of HEAs by ab initio based modelling. CHEAC Summer School 2023 - High Entropy Materials and their properties, Metalskolen-Jørlunde, Denmark (2023)

Todorova, M.; Surendralal, S.; Wang, Z.; Deißenbeck, F.; Wippermann, S. M.; Neugebauer, J.: Insights into processes at electro-chemical solid/liquid interfaces under potential control from first principles calculations. 34th IUPAP Conference on Computational Physics 2023 (CCP2023) (Keynote talk), Kobe, Japan (2023)

Bitzek, E.: Dislocation-mediated Plasticity with a focus on size effects. MecaNano Summer School on Experimental Nano- and Micromechanics, Rome, Italy (2023)

Ferraz Morgado, F.; Bhatt, S.; Stephenson, L.; Mouton, I.; Neugebauer, J.; Raabe, D.; Freysoldt, C.; Gault, B.; Katnagallu, S.: Experiment and Simulation Advances for atomic scale characterization using analytical field ion microscopy. Microscopy & Microanalysis 2023 (M&M 2023), Minneapolis, MN, USA (2023)

Ferraz Morgado, F.; Bhatt, S.; Stephenson, L.; Mouton, I.; Neugebauer, J.; Raabe, D.; Freysoldt, C.; Gault, B.; Katnagallu, S.: Advanced Data Processing and Ab Initio Simulations for Insights into Atom Probe Tomography Correlations. Workshop on local probes of chemical bonding and atom probe tomography (RWTH), Aachen, Germany (2023)

Gong, Y.: Synergy between Experimentation and Modelling for Life-time Prediction and Design against Corrosion. Gordon Research Conference in High Temperature Corrosion: Degradation Mechanisms, Life Prediction and Improved Materials for Application in Extreme Environments, New London, NH, USA (2023)

Neugebauer, J.; Deißenbeck, F.; Surendralal, S.; Todorova, M.; Wippermann, S. M.: Electrochemistry in a periodic supercell. 2023 “Computational Materials Chemistry” Telluride Workshop, Telluride, CO, USA (2023)

Neugebauer, J.; Poul, M.; Mathews, P.; Tehranchi, A.; Yang, J.; Todorova, M.; Hickel, T.: Construction and application of defect phase diagrams: Concepts and computational approaches. Thermec 2023, Vienna, Austria (2023)

Todorova, M.; Yoo, S.-H.; Kim, S.-H.; Gault, B.; Neugebauer, J.: Controlling doping of electrocatalysts through engineering impurities. 2023 “Computational Materials Chemistry” Telluride Workshop, Telluride, CO, USA (2023)