Publications of Kisung Kang

Journal Article (1)

2023
Journal Article
Huang, Jeffrey, Kisung Kang, André Schleife and Pinshane Y. Huang: Electron Ptychography Simulations for Atomic-resolution Magnetic Imaging.

Talk (4)

2024
Talk
Kang, Kisung: Active-Learning for Machine-Learned Interatomic Potentials; The Example of Strongly Anharmonic Materials.
(APS March Meeting 2024, Minneapolis, MN, USA, Mar 2024).
Talk
Kang, Kisung: Active-Learning Training of Accurate Machine-Learned Interatomic Potentials for Strongly Anharmonic Materials.
(DPG Spring Meeting of the Condensed Matter Section (SKM), Berlin, Germany, Mar 2024).
Talk
Kang, Kisung: Sustainable Thermoelectric Materials: First-Principles and Machine Learning Studies.
(The 2nd World Congress of Korean Scientists & Engineers, Seoul, South Korea, Jul 2024).
2023
Talk
Kang, Kisung: 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, Sep 2023).

Working Paper (2)

2024
Working Paper
Behler, Jörg, Gabor Csanyi, Lucas Foppa, Kisung Kang, Marcel F. Langer, Johannes T. Margraf, Akhil Sugathan Nair, Thomas A.R. Purcell, Patrick Rinke, Matthias Scheffler, Alexandre Tkatchenko, Milica Todorovic, Oliver T. Unke and Yi Yao: Workflows for Artificial Intelligence.
Working Paper
Kang, Kisung, Matthias Scheffler, Christian Carbogno and Thomas Purcell: Accelerating the Training and Improving the Reliability of Machine-Learned Interatomic Potentials for Strongly Anharmonic Materials Through Active Learning.
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