Training machine-learning potentials for crystal structure prediction using disordered structures C Hong, JM Choi, W Jeong, S Kang, S Ju, K Lee, J Jung, Y Youn, S Han
Physical Review B 102 (22), 224104, 2020
35 2020 Efficient atomic-resolution uncertainty estimation for neural network potentials using a replica ensemble W Jeong, D Yoo, K Lee, J Jung, S Han
The Journal of Physical Chemistry Letters 11 (15), 6090-6096, 2020
30 2020 Metadynamics sampling in atomic environment space for collecting training data for machine learning potentials D Yoo, J Jung, W Jeong, S Han
npj Computational Materials 7 (1), 131, 2021
19 2021 Stability and equilibrium structures of unknown ternary metal oxides explored by machine-learned potentials S Hwang, J Jung, C Hong, W Jeong, S Kang, S Han
Journal of the American Chemical Society 145 (35), 19378-19386, 2023
16 2023 AMP2: A fully automated program for ab initio calculations of crystalline materials Y Youn, M Lee, C Hong, D Kim, S Kim, J Jung, K Yim, S Han
Computer Physics Communications 256, 107450, 2020
12 2020 Atomistic kinetic Monte Carlo simulation on atomic layer deposition of TiN thin film S Kim, H An, S Oh, J Jung, B Kim, SK Nam, S Han
Computational Materials Science 213, 111620, 2022
10 2022 Applications and training sets of machine learning potentials C Hong, J Kim, J Kim, J Jung, S Ju, JM Choi, S Han
Science and Technology of Advanced Materials: Methods 3 (1), 2269948, 2023
9 2023 Electrochemical Degradation of Pt3 Co Nanoparticles Investigated by Off-Lattice Kinetic Monte Carlo Simulations with Machine-Learned Potentials J Jung, S Ju, P Kim, D Hong, W Jeong, J Lee, S Han, S Kang
ACS Catalysis 13 (24), 16078-16087, 2023
8 2023 Predicting melting temperature of inorganic crystals via crystal graph neural network enhanced by transfer learning J Kim, J Jung, S Kim, S Han
Computational Materials Science 234, 112783, 2024
7 2024 Disorder-Dependent Li Diffusion in Li6 PS5 Cl Investigated by Machine-Learning Potential J Lee, S Ju, S Hwang, J You, J Jung, Y Kang, S Han
ACS Applied Materials & Interfaces 16 (35), 46442-46453, 2024
6 2024 Modified Activation-Relaxation Technique (ARTn) Method Tuned for Efficient Identification of Transition States in Surface Reactions J Jung, H An, J Lee, S Han
Journal of Chemical Theory and Computation 20 (18), 8024-8034, 2024
2024 Disorder-dependent Li diffusion in J Lee, S Ju, S Hwang, J You, J Jung, Y Kang, S Han
arXiv preprint arXiv:2310.19350, 2023
2023 Constructing the Neural Network Potential With the Energies of the Atom and Its Derivatives J Jung, W Jeong, S Han
Bulletin of the American Physical Society 65, 2020
2020 
Seungwu HanSeoul National UniversityPreverjeni e-poštni naslov na snu.ac.kr