A joint team of researchers, affiliated with UNIST has announced their discovery of a new catalyst that can help boost the large-scale production of hydrogen. The new catalyst reported in the August 2019 issue of Nature Materials is a produ... Read More
Lightweight and durable composites are still the dominant materials in aerospace application. A team of researchers from UNIST has reported developing a new composite manufacturing technique, that is not only cheaper, but also simpler and m... Read More
There is a technology that turns materials, such as batteries, sensors, and new drugs into viruses, called bacteriophages. It is used as a platform to easily manipulate the genes of bacteriophages and make the desired protein molecules in b... Read More
From virtual reality (VR) to autonomous driving, behind those advanced 5G technologies there is LiDAR sensor technology, which uses the pulse from a laser to create 3D models and maps of objects and environments. Therefore, large-scale 3D p... Read More
A recent design project, carried out by Professor Yunwoo Jeong and his design team in the Graduate School of Design and Human Engineering at UNIST has been selected as a finalist in the Automotive and Transportation category, at the prestig... Read More
In order to accelerate the commercialization of perovskite solar cell technology, research activities are being conducted in an attempt to gain further improvement in their cost, efficiency and reliability. Among many, tandems cell technolo... Read More
Like the hurdle runners, the principle of protein movement is found by jumping around DNA. Using this principle of rapid movement and damage detection, it is expected that clues can be found in the treatment of various genetic diseases, inc... Read More
Patients with autoimmune diseases, such as rheumatoid arthritis (RA) are predisposed to developing chronic wounds that fail to proceed through the normal phases of wound healing in an orderly and timely manner. An international team of rese... Read More
A recent study, affiliated with UNIST has unveiled a novel algorithm that identifies optimal pairs for composing metal-organic frameworks (MOFs). The new algorithmic study reported in the August 2019 issue of Nature Communications is a prod... Read More
A research team, affiliated with UNIST has presented a system that can quantitatively complement the diagnosis of knee arthritis, which was performed only by x-ray and doctor’s judgment. This real-time data analysis is expected to hel... Read More
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