Discover & Connect with DGIST's Researchers
Discover & Connect with DGIST's Researchers
The multiple-step synthesis, harmful organic solvents, and hazardous binders are the major obstac...
Cadmium substituted cobalt ferrite nanoparticles are synthesis using the chemical method. The as-...
In recent years, a microfluidic technology has contributed a significant role in biological resea...
Human interaction with machines can be made easy, comfortable, and accessible by introducing user...
Understanding the structural organization of organs and organisms at the cellular level is a fund...
2017년 대학원 신입생 오리엔테이션의 논문읽기과 문헌검색 중 문헌검색과 관련한 자료입니다. 문헌이란 무엇인지, 문헌조사가 왜 필요한지, 어떤 과정으로 이루어지는지, 어떤 D...
Ultrafast electrical components have been required to apply to various devices such as the high-s...
Numerous learning-based approaches to single image deblurring for camera and object motion blurs ...
Team led by DGIST Professor Seo Sang-won, in collaboration with IBS Molecular Activation Catalysis Research Team, significantly simplifies complex antibiotic synthesis processes
Research team led by Professor Sanghyun Park at DGIST developed a deep-learning technology capable of accurately classifying the brain waves of a subject using only a small amount of data
This novel technology: - provides potential treatment in relation to restoring aging muscle cells obtained from older adults and remedying sarcopenia in aging animals through bioelectric medicine - presents a new paradigm for treating sarcopenia, for which no drugs are currently available to treat this condition - has been reported in the internationally renowned academic journal, Proceedings of the National Academy of Sciences
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