Byungchan Han
Yonsei University · エネルギー
研究室紹介
Professor Byungchan Han's research lab specializes in the design and development of advanced functional materials for sustainable energy applications, with a strong focus on electrocatalysts for renewable energy conversion and storage. The lab explores novel materials such as defective metal oxides, layered double hydroxides, perovskites, and doped copper catalysts to enhance catalytic activity and stability in reactions like the oxygen evolution reaction (OER), hydrogen evolution reaction (HER), and electrochemical CO2 reduction. Using a combination of advanced characterization techniques and first-principles theoretical calculations—including DFT and operando spectroscopy—the lab uncovers atomic-level mechanisms governing surface reactivity and catalytic performance. Their work aims to bridge the gap between material synthesis and practical energy technologies by engineering defects, interfaces, and electronic structures at the nanoscale.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15Here, we present oxygen-deficient black ZrO2-x as a new material for sunlight absorption with a low band gap around ~1.5 eV, via a controlled magnesiothermic reduction in 5% H2/Ar from white ZrO2, a wide bandgap(~5 eV) semiconductor, usually not considered for solar light absorption. It shows for the first time a dramatic increase in solar light absorbance and significant activity for solar light-induced H2 production from methanol-water with excellent stability up to 30 days while white ZrO2 fa
Abstract Surface engineering of transition metal layered double hydroxides (LDHs) provides an efficient way of enhancing their catalytic activity toward the oxygen evolution reaction (OER). However, the underlying mechanism of atomistic doping or heterogeneous interface with foreign atom is still ambiguous. Herein, a case study of NiFe‐LDHs that are homogeneously doped with Ce (CeNiFe‐LDH) and interfaced with Ce(OH) 3 (Ce@NiFe‐LDH), which elucidates their electronic modulation, in situ evolution
Establishment of a sustainable energy society has been strong driving force to develop cost-effective and highly active catalysts for energy conversion and storage devices such as metal-air batteries and electrochemical water splitting systems. This is because the oxygen evolution reaction (OER), a vital reaction for the operation, is substantially sluggish even with precious metals-based catalysts. Here, we show for the first time that a hexagonal perovskite, BaNiO3, can be a highly functional
Using first-principles density functional theory, we study the effect of particle size and surface structure on the chemisorption energy of OH and O on nanoparticles of Pt. We find that the chemisorption energies of O and OH are strongly affected by the size and structure of the Pt particle varying by up to $1.0\phantom{\rule{0.3em}{0ex}}\mathrm{eV}$ at different adsorption sites and particle sizes.
We argue that surface segregation can be substantially modified by the presence of adsorbates and present a first-principles method that allows us to equilibrate segregation and adsorption simultaneously on surfaces with fixed topology. The method is based on a cluster expansion theory to write the state of the system in terms of adsorbate and surface layer occupation variables. This model can be parametrized with density functional theory calculations and equilibrated at finite temperature with
Cu is considered as the most promising catalyst for the electrochemical carbon dioxide reduction reaction (CO 2 RR) to produce C 2+ hydrocarbons, but achieving high C 2+ product selectivity and efficiency with long-term stability remains one of great challenges. Herein, we report a strategy to realize the CO 2 RR catalyst allowing high C 2+ product selectivity and stable catalytic properties by utilizing the benefits of oxygen-plasma-assisted nitrogen doping on CuO. It is exhibited that the defe
The identification and development of efficient catalysts made of non-precious materials for oxygen reduction reaction (ORR) are essential for the successful operation of a wide range of energy devices. This study provides evidence that earth-abundant nanoparticles of transition metals encapsulated in a nitrogen-doped carbon shell (M@N–C, M=Fe, Co, Ni, Cu or Fe alloys) are promising catalysts in acidic solutions. By density functional theory calculations and experimental validations, we quantita
This study establishes big data for the catalytic properties of two-dimensional metal-dichalcogenides (2D-TMDs) toward the hydrogen evolution reaction (HER). In addition to conventionally known active sites of edges, it proposes that terrace sites (or the basal plane) can be substantially activated for the HER.
Cu@N-C with the Cu particles encapsulated in N-doped carbon shells, which was activated by CO<sub>2</sub>treatment, is an excellent electrocatalyst for the oxygen reduction reaction.
Using density functional theory (DFT) calculations, we identify the thermodynamically stable configurations of Pt-Co alloy nanoparticles of varying Co compositions and particle sizes. Our results indicate that the most thermodynamically stable structure is a shell-by-shell configuration where the Pt atom only shell and the Co only shell alternately stack and the outermost shell consists of a Pt skin layer. DFT calculations show that the structure has substantially higher dissolution potential of
The modulating of the geometric and electronic structures of metal-N-C atomic catalysts for improving their performance in catalyzing oxygen reduction reactions (ORRs) is highly desirable yet challenging. We herein report a delicate "encapsulation-substitution" strategy for the synthesis of paired metal sites in N-doped carbon. With the regulation of the <i>d</i>-orbital energy level, a significant increment in oxygen electroreduction activity was demonstrated in Ru-Co diatomic catalyst (DAC) co
Using first-principles density functional theory (DFT) calculations, we demonstrate that catalytic activities toward oxygen reduction and evolution reactions (ORR and OER) in a Li-O2 battery can be substantially improved with graphene-based materials. We accomplish the goal by calculating free energy diagrams for the redox reactions of oxygen to identify a rate-determining step controlling the overpotentials. We unveil that the catalytic performance is well described by the adsorption energies o