35 citations
- Korea Advanced Institute of Science and TechnologyKR3 papers
- Government of the Republic of KoreaKR2 papers
- Korea Research Institute of Standards and ScienceKR2 papers
- Advanced Institute of Convergence TechnologyKR1 paper
- Chungnam National UniversityKR1 paper
- HUN-REN Centre for Energy ResearchHU1 paper
- Institute for Technical Physics and Materials ScienceHU1 paper
- Iowa State UniversityUS1 paper
- Kootenay Association for Science & TechnologyCA1 paper
- Korea Astronomy and Space Science InstituteKR1 paper
- Korea Institute for Advanced StudyKR1 paper
- Quantum Technology Sciences (United States)US1 paper
8 papers
Valley Depolarization in Monolayer Transition-Metal Dichalcogenides with Zone-Corner Acoustic Phonons
Tae-Young Jeong, Soungmin Bae, Seong-Yeon Lee +3
Although single-layer transition-metal dichalcogenides with novel valley functionalities are promising candidate to realize valleytronic devices, the essential understanding of val…
Promising photovoltaic efficiency of a layered silicon oxide crystal SiO
Sejoong Kim, Kisung Chae, Young-Woo Son
Computational searching and screening of new functional materials exploiting earth abundant elements can accelerate developments of their energy applications. Based on a state-of-t…
High-Resolution Observations of the Molecular Clouds Associated with the Huge HII Region CTB 102
Brandon Marshall, Sung-ju Kang, C. R. Kerton +3
We report the first high-resolution (sub-arcminute) large-scale mapping CO and CO observations of the molecular clouds associated with the giant outer Galaxy HII regi…
Performance Analysis of Active Large Intelligent Surfaces (LISs): Uplink Spectral Efficiency and Pilot Training
Minchae Jung, Walid Saad, Gyuyeol Kong
Large intelligent surfaces (LISs) constitute a new and promising wireless communication paradigm that relies on the integration of a massive number of antenna elements over the ent…
Quantitative Phase Imaging and Artificial Intelligence: A Review
YoungJu Jo, Hyungjoo Cho, Sang Yun Lee +4
Recent advances in quantitative phase imaging (QPI) and artificial intelligence (AI) have opened up the possibility of an exciting frontier. The fast and label-free nature of QPI e…
Efficient B-mode Ultrasound Image Reconstruction from Sub-sampled RF Data using Deep Learning
Yeo Hun Yoon, Shujaat Khan, Jaeyoung Huh +1
In portable, three dimensional, and ultra-fast ultrasound imaging systems, there is an increasing demand for the reconstruction of high quality images from a limited number of radi…