Abstract Thin film-based structural coloration predominantly uses an elastomeric substrate and active materials, which exhibit uniform color changes under external stimuli such as bending, heat, and chemical environments. However, generatin... Read More
UNIST has announced the appointment of Sedol Lee, the renowned 9-dan ranked South Korean professional Go player, as a Collaborating Professor in the Department of Mechanical Engineering within the College of Engineering and the Graduate Sch... Read More
On December 6, 2024, the Office of Student Affairs hosted the 2024 Student Achievement Awards Ceremony, honoring fourteen outstanding students whose academic accomplishments and community service initiatives have made a significant impact o... Read More
Abstract Skin-interfaced electronics have emerged as a promising frontier in personalized healthcare. However, existing skin-interfaced patches often struggle to simultaneously achieve robust skin adhesion, adaptability to dynamic body moti... Read More
Abstract Nuclear microreactors (MRs) have attracted significant attention for their versatility in installation locations, especially with the growing demand for sustainable green energy in large data processing facilities. However, ensurin... Read More
Abstract Despite recent advancements, artificial muscles have not yet been able to strike the right balance between exceptional mechanical properties and dexterous actuation abilities that are found in biological systems. Here, we present a... 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
On September 26, a special lecture featuring Sedol Lee, a former 9-dan ranked South Korean professional Go player, was held at Jigwanseoga, located on the 1F of UNIST Library. The event attracted not only UNIST members, but also citizens of... 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
Abstract Intelligent transportation systems (ITSs) are being investigated as potential solutions for traffic congestion. Triboelectric sensors (TESs) have gained prominence among ITS technologies owing to their efficiency and self-powered c... Read More
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