cv
last updated (16 November 2025)
General Information
| Full Name | Yunsung Lim |
| Date of Birth | 25th September 1997 |
| Languages | Korean (native), English (professional) |
Experience
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2025.09-present BK21 Postdoctoral research fellow
Research Institute of Advanced Materials, Seoul National University (SNU), Seoul, South Korea - Advsied by Prof. Dr. Seungwu Han
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2023.07-2024.01 Visiting researcher in Department of Materials
Imperial College London, London, United Kingdom - Advsied by Prof. Dr. Aron Walsh
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2020.03-2025.08 Graduate research assistant
Korea Advanced Institute of Sceince and Technology (KAIST), Daejeon, South Korea - Advised by Prof. Dr. Jihan Kim
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2018.12-2019.02 Intern
SK Hynix, Icheon, South Korea - Team (DRAM Photo)
Education
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2022.03-2025.08 PhD Candidate in Chemical and Biomolecular Engineering
Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea - Advised by Prof. Dr. Jihan Kim
- Dissertation title is "Efficient Computational Modeling of Metal-Organic Frameworks for Greenhouse Gas Reduction"
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2020.03-2022.02 MS in Chemical Biomolecular Engineering
Korea Advanced Institute of Sceince and Technology (KAIST), Daejeon, South Korea - Advised by Prof. Dr. Jihan Kim
- Thesis title is "Finely Tuned Inverse Design of Metal-Organic Frameworks for Selective Xenon Adsorption"
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2016.03-2020.02 BS in Chemical and Biomolecular Engineering
Korea Advanced Institute of Sceince and Technology (KAIST), Daejeon, South Korea - With honors (Summa Cum Laude, 4.07/4.3)
Open Source Projects
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2024- DAC-SIM
- Integrated molecular simulation for direct air capture of CO2 in metal-organic frameworks using machine learning force field.
Honors and Awards
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2025.09-2026.08 - Postdoctoral Research Fellowship of BK21 Plus Program
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2023.07-2024.01 - International Research Fellowship of BK21 Plus Program
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2018 Spring - Department Honors Scholarship
Academic Interests
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Atomistic modeling
- Unraveling catalytic mechanisms within the materials surface using the first-principle calculations and machine learning.
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Data-driven materials design
- Construction of materials database and screening the constructed database via high-throughput virtual screening method to discover the candidates for the environmental and energy applications.
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Materials analysis
- In-depth molecular level simulation using various computational chemistry method to aligh with the experimental results and suggest underlying mechansim for the experimentally validated phenomenon.