Three exceptional graduate students from UNIST were honored with Silver Awards at the 31st Samsung Human Tech Paper Awards Ceremony for their groundbreaking research in the fields of energy, environment, signal processing, and basic science... Read More
As individuals age, muscle regeneration becomes increasingly critical for maintaining health and quality of life. To address this challenge, there is a pressing need for advanced biotechnological solutions. In response, UNIST has establishe... Read More
Abstract Efficient separation of hydrogen isotopes, especially deuterium (D2), is pivotal for advancing industries such as nuclear fusion, semiconductor processing, and metabolic imaging. Current technologies, including cryogenic distillati... Read More
Abstract Anion–π interactions are crucial in various biological processes, such as enzyme catalysis and ion transport. Despite their significance, the exploitation of anion–π interactions in synthetic polymer systems remains underexplored.... Read More
The Department of Industrial Engineering at UNIST, with the generous support of KB Securities Co. Ltd., Linq Inc., and Fast Campus Inc., successfully concluded the ‘4th UNIST-KAIST-POSTECH AI & Data Science Competition‘ in J... Read More
Abstract Designing thick electrodes is essential for applications of lithium-ion batteries that require high energy densities. Introducing a dry electrode process that does not require solvents during electrode fabrication has gained signif... Read More
On February 5, UNIST hosted a roundtable discussion and seminar with the U.S. Office of Naval Research Global (ONRG Global) to foster cooperation in the field of defense science and technology at Haedong Hall. This collaboration is anticipa... Read More
The ‘2025 2nd AI Team Project Supercomputing Youth Camp‘ concluded successfully, marking an exciting milestone for 87 high school students in Ulsan and laying the foundation for their future contributions to the fields of AI and... Read More
Abstract Entropy-driven strategy enables the systematic design of complex systems by using entropy as a quantifiable design parameter for the degree of mixing. In this study, we present mixed-linker zeolitic imidazolate frameworks (ZIFs), s... Read More
Abstract Life is invasive, occupying all physically accessible scales, stretching between almost nothing (protons, electrons, and photons) and almost everything (the whole biosphere). Motivated by seventeenth-century insights into this infi... Read More
![[UNIST Webinar] AI enabled Computational Imaging for Biomedical Applications](https://news.unist.ac.kr/wp-content/uploads/2022/10/Session-13.18-296x166.jpg)