Jihan Kim (김지한)Assistant Professor
Tel : +82-42-350-7311
Fax : +82-42-350-3910
E-mail : email@example.com
Homepage : http://molsim.kaist.ac.kr
- Ph.D. in Electrical Engineering, University of Illinois at Urbana-Champaign, 2009
- M.S. in Electrical Engineering, University of Illinois at Urbana-Champaign, 2004
- B.S. in Electrical Engineering and Computer Sciences, UC Berkeley, 2001
Employment and Professional Experience
- 2009-2011: Postdoctoral Researcher: Computational Science and Engineering, Lawrence Berkeley National Laboratories
- 2011-2013: Postdoctoral Researcher: Materials Sciences Division, Lawrence Berkeley National Laboratories
- 2013-Present: Assistant Professor in Dept. Chemical and Biomolecular Engineering, KAIST
Awards and Honors
- Featured article in Scientific American (2013)
- Featured article in NBC News (2013)
- Best Paper Award, CUG 2010 Conference
1. J. Kim, M. Abouelnasr, L.-C. Lin, B. Smit - "Large-scale Screening of Porous Materials for CO2 Separation", JACS, vol.135, 7545, 2013.
2. L.-C. Lin, J. Kim, X. Kong, E. Scott, T. McDonald, J. Long, J. Reimer, B. Smit - "Understanding CO2 Dynamics in Metal-Organic Frameworks with Open Metal Sites", Angewandte Chemie, (Inside Cover), vol.125, 4589, 2013.
3. J. Kim, A. Maiti, L.-C. Lin, J. Stolaroff, B. Smit, R. Aines - "New materials for methane capture from dilute and medium-concentration sources", Nature Communications, vol.4, 1694, 2013.
4. J. Kim, L.-C. Lin, J. Swisher, M. Haranczyk, B. smit - "Predicting Large CO2 Adsorption in Aluminosilicate Zeolites for Post-combustion Carbon Dioxide Capture", JACS Communication, vol.134, 18940, 2012.
5. J. Kim, L.-C. Lin, R.L. Martin, J. Swisher, M. Haranczyk, B. Smit - "Large Scale Computational Screening of Zeolites for Ethane/Ethene Separation", Langmuir, vol.28, 11914, 2012.
6. A. Dzubak, L.-C. Lin, J. Kim, J. Swisher, R. Poloni, S. Maximoff, B. Smit, L. Gagliardi - "Ab initio Carbon Capture in Open-site Metal Organic Frameworks", Nature Chemistry, vol.4, 810, 2012.
7. J. Kim, B. Smit - "Efficient Monte Carlo Simulations of Gas Molecules Inside Porous Materials", Journal of Chemical Theory and Computation, vol.8, 2336, 2012.
8. L.-C. Lin, A. Berger, R.L. Martin, J. Kim (co-first author), J. Swisher, K. Jariwala, C. Rycroft, A. Brown, M. Deem, M. Haranzyk, B. Smit - "In Silico Screening of Carbon Capture Materials", Nature Materials, vol.11, 633, 2012.
9. J. Kim, R.L. Martin, O. Ruebel, M. Haranczyk, B. Smit - "High-throughput Characterization of Porous Materials Using Graphics Processing Units", Journal of Chemical Theory and Computation, vol.8, 1684, 2012.
■ Carbon Capture and Sequestration
Carbon capture and sequestration (CCS) is a process in which carbon dioxide is captured before their emission into the atmosphere and buried underground. In our research group, we search for optimal materials that can selectively capture carbon dioxide from point contact sources such as power plant flue gas.
■ Methane and Hydrogen Storage
The need for alternative fuel source is greater than ever with decreasing amount of oil. To this end, we focus on novel porous materials that have large internal surface area that allows significantly large adsorption of methane/hydrogen gas molecules. Because some of these porous materials are highly tunable, we are interested in develop strategies to design optimal materials in silico (i.e. inside a computer).
■ Modeling Nanoporous Materials
In practice, it is difficult to correctly model the interactions between guest molecules and framework materials. To accurately model the system, one can in principle conduct thousands of density functional theory (DFT) calculations to obtain the adsorption properties but at a large computational cost. We look for novel solutions in which we can minimize the number of expensive DFT calculations while still retaining a reasonable level of accuracy to screen/characterize new systems.
■ High-performance Computing Methods for Large-scale Screening/Characterization
Our in-house developed graphics processing units (GPU) code can characterize both adsorption and diffusion properties of porous materials in a very efficient manner that allows large-scale screening of many structures. We look to continue our effort to add various functionalities to the code to enhance its capability. On top of that, we search to combine other advancements in computing to our research to solve problems that were previously deemed too difficult.