2025
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Jung, J., Xia, L., Han, S., & Walsh, A.
Mapping the energy landscape of octahedral tilting in halide perovskites using a machine learning force field
2025 Fall Meeting of the Korean Ceramic Society, Seoul (Korea) Oct. 15 ~ Oct. 17 (Poster)
2024
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Jung, J., Ju, S., Kim, P.-H., Hong, D., Jeong, W., Lee, J., Han, S., & Kang, S.
Off-lattice kinetic Monte Carlo simulationo f Pt3Co nanoparticle degradation using machine-learned potential
TYC 7th Energy Materials Workshop, London (UK) Jul. 24 ~ Jul. 26 (Poster)
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Jung, J., Park, Y., Kim, J., Hwang, S., & Han, S.
Introduction to SevenNet as a foundation model and its application
2024 KIChE Spring Meeting Symposium, Jeju (Korea) Apr. 24 ~ Apr. 27 (Poster)
2023
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Jung, J., An, H., Hong, D., & Han, S.
Adaptive kinetic Monte Carlo simulation on platinum oxidation at electrochemical conditions using machine-learned potentials
2023 MRS Fall Meeting, Boston (USA) Nov. 26 ~ Dec. 1 (Oral)
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Jung, J., An, H., Hong, D., & Han, S.
Efficiency enhancement of saddle point search algorithms with SHERPA and machine-learned potentials
The 19th KIAS Electronic Structure Calculation Workshop, Seoul (Korea) Jul. 13 ~ Jul. 14 (Poster)
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Jung, J., An, H., Hong, D., & Han, S.
Development of efficient saddle point searching methods: application on oxidized platinum surface with machine-learned potentials
2023 New Advanced in Theoretical and Computational Molecular Science for Complex and Quantum Processes, Seoul (Korea) Jun. 27 ~ Jul. 30 (Poster)
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Jung, J., & Han, S.
Constructing comprehensive reaction tables using machine-learned interatomic potentials: application on oxidized Pt(111) surface
2023 Spring Meeting & Academic Presentation of the Korean Electrochemical Society, Jeju (Korea) Apr. 5 ~ Apr. 7 (Oral)
2022
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Jung, J., Ju, S., Kim, P.-H., Jeong, W., Lee, J., Kang, S., & Han, S.
Development of neural network interatomic potential for simulating evolution of Pt3Co nanoparticles under electrochemical conditions
2022 MRS Fall Meeting, Boston (USA) Nov. 27 ~ Dec. 2 (Poster)
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Jung, J., Ju, S., Kim, P.-H., Jeong, W., Lee, J., Kim, G., Kang, S., & Han, S.
Structural evolution of Pt3Co nanoparticles described by kinetic Monte Carlo simulation combined with neural network potentials
The 7th International Conference on Electronic Materials and Nanotechnology for Green Environment, Jeju (Korea) Nov. 6 ~ Nov. 9 (Oral)
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Jung, J., & Han, S.
Development of the machine-learned interatomic potential for platinum oxidation and its connection to kinetic Monte Carlo simulation
KPS 70th Anniversary and 2022 Fall Meeting, Busan (Korea) Oct. 18 ~ Oct. 21 (Poster)
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Jung, J., Ju, S., Kim, P.-H., Jeong, W., Lee, J., Kang, S., & Han, S.
Degradation of Pt3Co nanoparticle in electrochemical environment: adaptive kinetic Monte Carlo simulation using neural network potentials
2022 Nano Korea, Ilsan (Korea) Jul. 6 ~ Jul. 8 (Poster)
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Jung, J., Ju, S., Kim, P.-H., Jeong, W., Lee, J., Kang, S., & Han, S.
Kinetic Monte Carlo simulation of Pt3Co alloy nanoparticle on the electrochemical environment by neural network potential
2022 Spring Meeting of the Korean Ceramic Society, Yeosu (Korea) Apr. 13 ~ Apr. 15 (Poster)
2021
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Jung, J., Ju, S., Kim, P.-H., Kang, S., Jeong, W., & Han, S.
Degradation evolution of Pt alloy nanoparticle via kinetic Monte Carlo simulation driven by neural network potentials
2021 MRS fall meeting, Online (USA) Dec. 6 ~ Dec. 8 (Poster)
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Jung, J., Ju, S., Kim, P.-H., Kang, S., Jeong, W., & Han, S.
Unraveling the effect for the durability of Pt-Co alloy nanoparticle electrocatalyst via kinetic Monte Carlo simulation driven by neural network potentials
The 2021 Fall Meeting of the Korean Physical Society, Online (Korea) Oct. 20 ~ Oct. 22 (Oral)
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Jung, J., Yoo, D., Jeong, W., Hwang, S., & Han, S.
Metadynamics sampling in atomic environment space for collecting training data for machine learning potentials
2021 Spring Conference of the Korean Instiute of Metals and Materials, Heongseong & Online (Korea) Apr. 28 ~ Apr. 30 (Oral)
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Jung, J., Yoo, D., Jeong, W., & Han, S.
Efficient sampling for training set of machine learning potentials using metadynamics
2021 MRS Spring Meeting, Online (USA) Apr. 17 ~ Apr. 23 (Poster)
2020
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Jung, J., Yoo, D., Jeong, W., & Han, S.
Autonomous generation of training data for machine learning potentials via metadynamics sampling
2020 Fall Meeting of the Korean Ceramic Society, Daejgon & Online (Korea) Nov. 23 ~ Nov. 25 (Poster)
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Jung, J., Lee, K., Yoo, D., Jeong, W., & Han, S.
Development of the neural network potential via atomic energy training
2020 Spring Meeting of the Korean Ceramic Society, Online (Korea) Jul. 6 ~ Jul. 9 (Poster)
2019
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Jung, J., Lee, K., Yoo, D., Jeong, W., & Han, S.
Effects of training the stress tensor in neural network potential
The 5th International Conference on Molecular Simulation, Jeju (Korea) Nov. 3 ~ Nov. 6 (Poster)