Nine faculty members from UNIST have been named to the prestigious Highly Cited Researchers (HCR) 2025 list, compiled by Clarivate Analytics—an increase of two from 2024—positioning UNIST as South Korea’s second-highest-ranked institu... Read More
Dean Yong Hwan Kim of College of Engineering at UNIST has been elected to the National Academy of Engineering of Korea (NAEK), the most prestigious organization in the field of engineering in Korea. This year, NAEK has welcomed 69 new membe... Read More
Abstract Over the last five decades, Arctic sea ice has been shrinking in area and thickness. As a result, increased marine traffic has created a need for improved sea ice forecasting on seasonal to annual time-scales. In this study, we int... Read More
UNIST is set to receive a total of 15 billion won over the next four years, composed of national, local, and response funds, to advance its efforts in cultivating professional talents for the semiconductor industry. The Ministry of Educatio... Read More
Abstract Water-repellent superhydrophobic surfaces are ubiquitous in nature. The fundamental understanding of bio/bio-inspired structures facilitates practical applications surmounting metastable superhydrophobicity. Typically, the hierarch... Read More
RecensMedical Inc., founded by Professor Gun-Ho Kim of the Department of Mechanical Engineering at UNIST, is pleased to announce that the U.S. Food and Drug Administration (FDA) has granted De Novo approval to OcuCool®, a revolutionary rapi... Read More
Abstract Decoupling dynamic touch signals in the optical tactile sensors is highly desired for behavioral tactile applications yet challenging because typical optical sensors mostly measure only static normal force and use imprecise multi-i... Read More
Abstract Anode-free lithium (Li) batteries that function via direct Li plating/stripping on metal current collectors have garnered significant interest in the field of metallic Li as an ideal negative electrode. However, dendritic Li growth... Read More
Abstract The precise control of crack propagation at bonded interfaces is crucial for smart adhesives with advanced performance. However, previous studies have primarily concentrated on either microscale or macroscale crack propagation. Her... Read More
Abstract Accurately predicting tool wear is crucial for intelligent machining process monitoring, control, and quality improvement. Recent studies on tool wear prediction predominantly apply deep learning-based data-driven approaches that u... Read More
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