- Office.Room 535, Advanced Materials & Chemical Engineering Building
- Tel.02-2220-0521
- Email.chemekim@hanyang.ac.kr
- Website.Computational Design of Catalysts and Energy materials Lab
Low Energy & Emission Vehicle Development
Energy Material and Catalyst Design & High-Throughput Screening
Elucidating Reaction Mechanism
Revealing the Origin of Experimental Results & Thermodynamic Analysis
Chemical Engineering Thermodynamics I & II (Undergraduates)
Engineering Mathmatics III (Undergraduates)
Computational Design of Energy Materials (Graduates)
Computational Design of Catalytic Materials for Carbon Neutrality (Graduates)
University of Seoul, Seoul, Korea (B.S. (2014), Chemical Engineering)
University of Seoul, Seoul, Korea (M.S. (2018), Chemical Engineering)
Pohang University of Science and Technology (POSTECH), Pohang, Korea (Ph.D. (2021), Chemical Engineering)
2021 ~ Present Assistant Professor, Department of Chemical Engineering, Hanyang University
2021.2 ~ 2021.8 Pohang University of Science and Technology (POSTECH), Pohang, Korea (Postdoctoral researcher & Lecturer)
Kim, K.†, Koo, B.†, Jo, Y.-R., Lee, S., Kim, J. K., Kim, B.-J.*, Jung, W.* & Han, J. W.* Control of transition metal–oxygen bond strength boosts the redox ex-solution in a perovskite oxide surface. Energy & Environmental Science 13, 3404-3411 (2020).
Kim, K., Joo, S., Huang, R., Kim, H. J., Kim, G.* & Han, J. W.* Mechanistic insights into the phase transition and metal ex-solution phenomena of Pr0.5Ba0.5Mn0.85Co0.15O3−δ from simple to layered perovskite under reducing conditions and enhanced catalytic activity. Energy & Environmental Science 14, 873-882 (2021).
Kim, D.†, Lee, C. B.†, Park, K. K.†, Bang, H., Truong, P. L., Lee, J., Jeong, B. H., Kim, H., Won, S. M., Kim, D. H., Lee, D., Ko, J. H., Baac, H. W.*, Kim, K.* & Park, H. J.* Highly Reliable 3D Channel Memory and Its Application in a Neuromorphic Sensory System for Hand Gesture Recognition. ACS Nano 17, 24826-24840 (2023).
Kim, M.†, You, H. M.†, Jeon, J., Lim, J., Han, Y., Kim, K.* and Hong, J.* Thermal decomposition mechanism of lithium methyl carbonate in solid electrolyte interphase layer of lithium-ion battery. Energy Storage Materials 70 (2024).
Cha, J.†, Beom Lee, C.†, Min Park, S., Baek, D., Kim, S., Gyo Han, S., Jin, H., Joo Yang, S., Lim, J.*, Kim, K.* & Kim, M.* Lattice-matched in-situ-formed 1D perovskite phase in Multi-dimensional solar cells achieving high phase stability and favorable energy landscape. Chemical Engineering Journal 484 (2024).
Patil, A. M., You, H. M., Jadhav, A. A., Hong, J., Das, S. K., Dhas, S. D., Lim, T. J., Lee, E., Chung, K. Y.*, Kim, K.* & Jun, S. C.* Dual Strategies of Na+ Electrolyte Additives and Dendrites Protective Ti3C2TX‐MXene/Zn Anode with 2D MXene Nanosheet Encased Niobium Pyrophosphate (NbP2O7) Composite Binder‐Free Cathode for Stable Zinc‐Ion Storage. Advanced Energy Materials (2024).
Kim, J. K.†, Kim, S.†, Kim, S., Kim, H. J., Kim, K.*, Jung, W.* & Han, J. W.* Dynamic Surface Evolution of Metal Oxides for Autonomous Adaptation to Catalytic Reaction Environments. Adv Mater 35, e2203370 (2023).
Navakoteswara Rao, V.†, Kwon, H.†, Lee, Y., Ravi, P., Won Ahn, C., Kim, K.* & Mo Yang, J.* Synergistic integration of MXene nanosheets with CdS@TiO2 core@shell S-scheme photocatalyst for augmented hydrogen generation. Chemical Engineering Journal 471 (2023).
Maiti, K., Curnan, M. T., Kim, H. J., Kim, K.* & Han, J. W.* Boosting the catalytic activity toward oxygen reduction via a heterostructure of porous iron oxide-decorated 2D NiO/NG nanosheets. Journal of Energy Chemistry 93, 669-681 (2024).
Navakoteswara Rao, V.†, Kwon, H.†, Nagaveni, M., Ravi, P., Lee, Y., Jae Lee, S., Kim, K.*, Mamatha Kumari, M., Shankar, M. V.*, Ho Yoo, J., Ahn, C., Kim, S.-j.* & Mo Yang, J.* Modulating Schottky barriers and active sites of Ag-Ni bi-metallic cluster on mesoporous carbon nitride for enhanced photocatalytic hydrogen evolution. Chemical Engineering Journal 499 (2024).
Over the past few decades, computational approaches, such as density functional theory (DFT) calculations, molecular dynamics (MD), and artificial intelligence (AI), have been widely used to find and develop materials for various purposes, such as low price, high activity, and durability on diverse reaction conditions. Understanding the nature of materials and reaction kinetics makes it possible to provide fundamental information from the bottom-up approaches for designing new types of materials. Until now, many experimental approaches have been used to “trial and error” method to identify and develop new materials. Owing to the high cost of experiments and the limitations of the instrument, experimental approaches have experienced difficulties in massive material screening. Recently, the time and cost for massive material screening with high accuracy have been sharply decreased due to advances in the performance of computers in accordance with Moore’s law and AI. Therefore, there has been a great demand to “shorten the time for discovery and development of specialized materials in various research and industry fields” by using computational approaches. Our research group has been working on the design of catalysts, energy materials (Fuel Cells, solar cells, and Li-ion Cells), and semiconductor materials based on chemical engineering.
