A5065144287- Catalytic Processes in Materials Science
- Catalysis and Oxidation Reactions
- Catalysis and Hydrodesulfurization Studies
- Recycling and Waste Management Techniques
- Microplastics and Plastic Pollution
- Electrocatalysts for Energy Conversion
- Catalysts for Methane Reforming
- Nanomaterials for catalytic reactions
- Advanced Photocatalysis Techniques
- Catalysis for Biomass Conversion
- biodegradable polymer synthesis and properties
- Machine Learning in Materials Science
- Petroleum Processing and Analysis
- Polymer crystallization and properties
- Carbon dioxide utilization in catalysis
- Topic Modeling
- Epoxy Resin Curing Processes
- Advanced biosensing and bioanalysis techniques
- Cloud Computing and Resource Management
- Gold and Silver Nanoparticles Synthesis and Applications
- CO2 Reduction Techniques and Catalysts
- Polymer Science and PVC
- Copper-based nanomaterials and applications
- Municipal Solid Waste Management
- Fiber-reinforced polymer composites
Seoul National University of Science and Technology
2019-2025
Seoul National University
2024
University of California, Santa Barbara
2018-2022
University of Wisconsin–Madison
2014-2018
Heterogeneous supported metal catalysts are critical for a wide range of chemical conversion technologies. While the fundamental properties extended surfaces well understood and active sites on such systems can be designed targeted applications, much less is known about formed at interface nanometer-scale structures their underlying oxide support. The goal this Perspective to highlight recent progress in understanding controlling metal–oxide support interfacial high-surface-area catalysts....
Well-defined Cu catalysts containing different amounts of zirconia were synthesized by controlled surface reactions (CSRs) and atomic layer deposition methods studied for the selective conversion ethanol to ethyl acetate methanol synthesis. Selective ZrO2 on undercoordinated sites or near nanoparticles via CSR method was evidenced UV–vis absorption spectroscopy, scanning transmission electron microscopy, inductively coupled plasma emission spectroscopy. The concentrations Cu-ZrO2 interfacial...
Visible light driven plasmon-enhanced reverse water gas shift reaction over Au/TiO<sub>2</sub>catalysts for CO<sub>2</sub>conversion.
Size-controllable Au nanodot arrays (50, 63, and 83 nm dot size) with a narrow size distribution (± 5%) were prepared by direct contact printing method on an indium tin oxide (ITO) substrate. Titania was added to the nanodots using TiO(2) sols of 2-3 in size. This created precisely controlled 110 overcoats. Using these arrays, effects overcoats investigated for photoelectrochemical water splitting three-electrode system fiber-optic visible light source. From UV-vis measurement, localized...
Atomically dispersed late-transition-metal catalysts exhibit distinct catalytic reactivity and selectivity compared to metal clusters in many reactions. Realizing the potential benefits of these requires active site uniformity control their local environment. Here, we propose a catalyst synthesis route for manipulating environment atomically metal-active sites. This was achieved via targeted deposition Rh precursors near ReOx on γ-Al2O3 using electrostatic interactions. CO probe molecule...
We show that MoO(x)-promoted Au/SiO2 catalysts are active for reverse water-gas shift (RWGS) at 573 K. Results from reactivity measurements, CO FTIR studies, Raman spectroscopy, and X-ray absorption spectroscopy (XAS) indicate the deposition of Mo onto Au nanoparticles occurs preferentially on under-coordinated sites, forming Au/MoO(x) interfacial sites (RWGS). AuMo quantified spectra adsorbed collected subambient temperatures (e.g., 150-270 K). Bands 2111 2122 cm(-1) attributed to Au(0)...
Conventional methods for developing heterogeneous catalysts are inefficient in time and cost, often relying on trial-and-error. The integration of machine-learning (ML) catalysis research using data can reduce computational costs provide valuable insights. However, the lack interpretability black-box models hinders their acceptance among researchers. We propose an interpretable ML framework that enables a comprehensive understanding complex relationships between variables. Our incorporates...
Rh/SiO2 catalysts promoted with Fe and Mn are selective for synthesis gas conversion to oxygenates light hydrocarbons at 523 K 580 psi. Selective anchoring of species on Rh nanoparticles was achieved by controlled surface reactions evidenced ultraviolet–visible absorption spectroscopy, scanning transmission electron microscopy, inductively coupled plasma emission spectroscopy. The interaction between promotes the production ethanol through hydrogenation acetaldehyde enhances selectivity...
The surge in global plastic production, reaching 400.3 million tons 2022, has exacerbated environmental pollution, with only 11% of being recycled. Catalytic recycling, particularly through hydrogenolysis and hydrocracking, offers a promising avenue for upcycling polyolefin plastic, comprising 55% waste. This study investigates the influence water on depolymerization using Ru catalysts, revealing promotional effect when both metal acid sites, Brønsted site, are present. Findings highlight...
Abstract Depolymerizing plastic waste through hydrogen‐based processes, such as hydrogenolysis and hydrocracking, presents a promising solution for converting plastics into liquid fuels. However, conventional hydrogen production methods rely heavily on fossil fuels, exacerbating global warming. This study introduces novel approach to that utilizes in situ generated via the aqueous phase reforming (APR) of methanol, biomass‐derived chemical offering more sustainable alternative. Our results...
Depolymerizing plastic waste through hydrogen-based processes, such as hydrogenolysis and hydrocracking, presents a promising solution for converting plastics into liquid fuels. However, conventional hydrogen production methods rely heavily on fossil fuels, exacerbating global warming. This study introduces novel approach to that utilizes in situ generated via the aqueous phase reforming (APR) of methanol, biomass-derived chemical offering more sustainable alternative. Our results show...
Data consistency affects the robustness of machine learning-based models. Most experimental and industrial data have low consistency, leading to poor generalization performance. In this study, a hybrid Quantum Neural Network (hybrid QNN) with superior capabilities, was compared established learning models, including artificial neural networks decision-tree-based methods such as CatBoost XGBoost. We evaluated these models by predicting catalyst performance across different data-consistency...
Environmental problems are worsening due to the complexity in managing plastic waste. Chemical recycling emerges as a pivotal technology that can suppress carbon introduction into cycle and provide petroleum alternatives for current petrochemical processes. The utilization of zeolites reduce energy consumption by lowering operation temperature pyrolysis. Here, we demonstrate low-temperature catalytic cracking polyethylene (PE) utilizing an open-batch reactor configuration *BEA-type zeolite...