Ji Yong Kim
Sungkyunkwan University · 化学工学
研究室紹介
Professor Ji Yong Kim's research lab specializes in advanced materials and process modeling for sustainable energy and environmental applications. The lab focuses on electrochemical systems, particularly in molten salt electrochemistry for actinide and rare-earth element separation, as well as developing innovative diffusion-based modeling techniques for complex physical systems using point clouds and spatio-temporal data. Their work also extends to environmental monitoring technologies, such as high-accuracy LiDAR data verification, and carbon capture and utilization (CCU) technologies aimed at reducing industrial emissions, especially in high-emission sectors like refining. The lab integrates computational modeling, analytical chemistry, and environmental engineering to address global challenges in energy sustainability and climate change mitigation.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
8The reaction conditions of 1,3-diethyl-2-thiobarbituric acid (DETBA)-malonaldehyde (MA) adduct formation were examined in order to analyze MA in fish tissue by high-performance liquid chromatography. A reaction mixture containing 4 mM butyl hydroxytoluene was heated at 100 degrees C for 150 min and the DETBA-MA adduct formed was separated by a Inertsil ODS column for 20 min. The detection limit was 5 pmol.
In the present work, an electrowinning process in the LiCl-KCl/Cd system is considered to model and analyze the electrotransport of the actinide and rare-earth elements. A simple dynamic modeling of this process was performed by taking into account the material balances and diffusion-controlled electrochemical reactions in a diffusion boundary layer at an electrode interface between the molten salt electrolyte and liquid cadmium cathode. The proposed modeling approach was based on the half-cell
This study introduces a novel point-wise diffusion model that processes spatio-temporal points independently to efficiently predict complex physical systems with shape variations. This methodological contribution lies in applying forward and backward diffusion processes at individual spatio-temporal points, coupled with a point-wise diffusion transformer architecture for denoising. Unlike conventional image-based diffusion models that operate on structured data representations, this framework en
The airborne LiDAR which was introduced in the early 2000's provides the point data. The new methods for the verification of LiDAR materials with high accuracy which is different from the existing airborne survey are needed. In accordance with the rules of airborne laser survey which were enacted in 2009, the verifications by three methods of Unmeasured Rate and point accuracy, point density have been executed, and Unmeasured Rate is to evaluate the rate for the presence of points within uniform
As the world seeks effective solutions to mitigate climate change, various carbon mitigation technologies have gained attention for their potential to reduce industrial emissions. Among these, carbon capture and utilization (CCU) has emerged as a promising technology for achieving net-zero emissions and is being developed and implemented globally. CCU captures CO2 from numerous sources and reuses it in processes such as industrial chemical production. Among industrial sectors, the refinery secto