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Research Highlight

Physics-Informed Machine Learning Unlocks Data-Efficient Pathways for Materials Characterization

Prof. Seunghwa Ryu’s Team Presents Physics-Informed Machine Learning Framework for Data-Efficient Materials Characterization. ...read more

AI-powered design and manufacturing Data-Efficient Materials Characterization Inverse Design KI for Climate Environment and Energy KICEE Physics-Informed Machine Learning (PIML)

Research Highlight

Vacancy-Engineered, Perfectly Ordered Nanowires for Highly Selective Catalysis

The team of Prof. Park and Prof. Jung revealed that aligned CeO_x nanowires with engineered vacancies significantly boost catalytic selectivity for producing methyl formate. ...read more

Catalysis Charge transfer Hot electron generation KI for Climate Environment and Energy KICEE Nanofabrication Oxygen vacancies Vacancy engineering

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