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)

Gong, Y.; Ikeda, Y.; Körmann, F.; Neugebauer, J.: Ab initio computation of phase stability and interstitial alloying in bcc compositionally complex alloys. International Conference on High-Entropy Materials (ICHEM 2023), Knoxville, TN, USA (2023)

Zhu, L.-F.; Neugebauer, J.; Grabowski, B.: Towards high throughput melting property calculations with ab initio accuracy aided by machine learning potential. CALPHAD L Conference, Cambridge, MA, USA (2023)

Freysoldt, C.; Wang, N.; Sreekala, L.; Bukka, S. R.; Goyal, P. K.; Liebscher, C.; Saxena, A.; Gault, B.: Pattern discovery and quantification in experimental data from scanning transmission electron tomography (STEM) and atom probe tomography (APT). Big Max Summer School, Cap Roig, Spain (2023)

Freysoldt, C.: Exploring data-rich materials analytics with machine learning: how and why. Physikalisches Kolloquium, Universität Marburg, Marburg, Germany (2023)

Todorova, M.; Surendralal, S.; Deißenbeck, F.; Wippermann, S. M.; Neugebauer, J.: Insights into Electrified Solid/Liquid Interfaces from Ab initio and Atomistic Molecular Dynamics Simulations. CECAM - Young Researchers' School on Theory and Simulation in Electrochemical Conversion Processes, Paris, France (2023)

Zhu, L.-F.: Melting properties from ab initio using efficient TOR-TILD approach: Applications to refractory metals V, W and V–W alloy. CALPHAD XLVIII Conference, Stockholm, Sweden (2023)

Neugebauer, J.: Utilizing chemical complexity in electrochemistry. Talk at Korea University, Asan Science Building, Seoul, Korea (2023)

Todorova, M.; Surendralal, S.; Deißenbeck, F.; Wippermann, S. M.; Neugebauer, J.: The role of water at electrified solid/ liquid interfaces under potential control. Germany-Korea On-Site Plenary Discussion on Computational Electrochemistry at Korea University, Seoul, Korea (2023)