From left, Lim Hyeong-tae, integrated master’s and PhD program student in Electrical Engineering and Computer Science at Daegu Gyeongbuk Institute of Science and Technology (DGIST), and Professor Kwon Hyuk-jun. Provided by DGIST

From left, Lim Hyeong-tae, built-in grasp’s and PhD program scholar in Electrical Engineering and Computer Science at Daegu Gyeongbuk Institute of Science and Technology (DGIST), and Professor Kwon Hyuk-jun. Provided by DGIST

■ Daegu Gyeongbuk Institute of Science and Technology (DGIST) introduced on the ninth that a analysis crew led by Professor Kwon Hyuk-jun of the Department of Electrical Engineering and Computer Science has offered a growth roadmap for an “artificial olfactory system” that detects odors just like the human nose and analyzes them utilizing synthetic intelligence (AI), by leveraging metallic–natural frameworks (MOFs). The crew systematically organized the important thing analysis stream of electronic nose know-how, from the design of MOF supplies and sensor implementation to AI-based odor sample recognition. They forecast that MOF-based electronic noses may very well be prolonged to healthcare functions comparable to illness prognosis, air high quality and industrial security monitoring, good agriculture, and chemical notion applied sciences for autonomous driving and robotics. The analysis findings have been printed within the worldwide journal “Progress in Materials Science.” 

 

■ Gwangju Institute of Science and Technology (GIST) introduced on the ninth that a analysis crew led by Professor Jung Hyun-ho of the Department of Electrical Engineering and Computer Science has developed a “plasmonic spiral structure” impressed by penguin feather structure. Penguin feathers include nanoscale melanosomes that take up mild and generate warmth. The microstructure on the feather floor features to suppress attachment of water droplets. By mimicking penguin feather buildings, the crew applied an optical coating know-how that removes moisture and repels raindrops with none exterior energy provide, establishing a basis for steady reception of LiDAR alerts even below extreme climate situations. The analysis outcomes have been printed on-line within the worldwide journal “Nature Communications” on the twenty seventh of final month. 

 

■ Ulsan National Institute of Science and Technology (UNIST) introduced on the ninth that a joint analysis crew led by Professor Lee Ja-il of the Department of Biological Sciences and Professor Park Jong-nam of the Department of Energy and Chemical Engineering has recognized that polyethylene glycol (PEG) on the floor of business quantum dots interferes with binding to proteins and DNA, and has proposed design standards for quantum dot surfaces to stop this. By controlling the proportion of PEG-series elements on the quantum dot floor, the crew additionally decided that protein and DNA binding is maintained when the PEG content material is stored under 7%. Using the brand new quantum dots, they clarified how XPA, a DNA harm restore protein, locates DNA harm websites. The analysis findings have been printed on-line within the worldwide journal “Nano Convergence” on the third of final month.

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