Publikationen von Kisung Kang

Huang, J.; Kang, K.; Schleife, A.; Huang, P. Y.: Electron Ptychography Simulations for Atomic-resolution Magnetic Imaging. Microscopy and Microanalysis 29 (Suppl 1), S. 282 - 283 (2023)

Kang, K.: Sustainable Thermoelectric Materials: First-Principles and Machine Learning Studies. The 2nd World Congress of Korean Scientists & Engineers, Seoul, South Korea (2024)

Kang, K.: Active-Learning for Machine-Learned Interatomic Potentials; The Example of Strongly Anharmonic Materials. APS March Meeting 2024, Minneapolis, MN, USA (2024)

Kang, K.: Active-Learning Training of Accurate Machine-Learned Interatomic Potentials for Strongly Anharmonic Materials. DPG Spring Meeting of the Condensed Matter Section (SKM), Berlin, Germany (2024)

Kang, K.: Active-Learning Methodology for Interatomic Potentials in Large-Scale Molecular Dynamics. NOMAD Workshop on Data-centric Cruising for New and Novel Materials, Mechanisms, and Insights, Kiel, Germany (2023)

Behler, J.; Csanyi, G.; Foppa, L.; Kang, K.; Langer, M. F.; Margraf, J. T.; Sugathan Nair, A.; Purcell, T. A. R.; Rinke, P.; Scheffler, M. et al.; Tkatchenko, A.; Todorovic, M.; Unke, O. T.; Yao, Y.: Workflows for Artificial Intelligence. (2024)

Kang, K.; Scheffler, M.; Carbogno, C.; Purcell, T.: Accelerating the Training and Improving the Reliability of Machine-Learned Interatomic Potentials for Strongly Anharmonic Materials Through Active Learning. (2024)