142 citations
- Duke UniversityUS18 papers
- Ludwig-Maximilians-Universität MünchenDE9 papers
- Sun Yat-sen UniversityCN8 papers
- Peking UniversityCN7 papers
- Xi’an Jiaotong-Liverpool UniversityCN7 papers
- Institute of Science and Technology AustriaAT5 papers
- Wuhan UniversityCN5 papers
- Zhejiang UniversityCN5 papers
- Beijing Normal UniversityCN4 papers
- Illinois Institute of TechnologyUS4 papers
- Pohang University of Science and TechnologyKR4 papers
- Triangle Universities Nuclear LaboratoryUS4 papers
11 papers · 1 filter
Frustrated Superradiant Phase Transition
Jinchen Zhao, Myung-Joong Hwang
Frustration occurs when a system cannot find a lowest-energy configuration due to conflicting constraints. We show that a frustrated superradiant phase transition occurs when the g…
A Level Set Method for the Simulation of Moving Contact Lines in Three Dimensions
Quan Zhao, Shixin Xu, Weiqing Ren
We propose an efficient numerical method for the simulation of multi-phase flows with moving contact lines in three dimensions. The mathematical model consists of the incompressibl…
Myopic Bike and Say Hi: Games for Empathizing with The Myopic
Xiang Li, Xiaohang Tang, Xin Tong +3
Myopia is an eye condition that makes it difficult for people to focus on faraway objects. It has become one of the most serious eye conditions worldwide and negatively impacts the…
Loops of Infinite Order and Toric Foliations
Konstantinos Efstathiou, Bohuan Lin, Holger Waalkens
In 2005 Dullin et al. proved that the non-zero vector of Maslov indices is an eigenvector with eigenvalue 1 of the monodromy matrices of an integrable Hamiltonian system. We take a…
A Radiomics-Boosted Deep-Learning Model for COVID-19 and Non-COVID-19 Pneumonia Classification Using Chest X-ray Image
Zongsheng Hu, Zhenyu Yang, Kyle J. Lafata +2
To develop a deep-learning model that integrates radiomics analysis for enhanced performance of COVID-19 and Non-COVID-19 pneumonia detection using chest X-ray image, two deep-lear…
Quantification of lung function on CT images based on pulmonary radiomic filtering
Zhenyu Yang, Kyle J Lafata, Xinru Chen +4
Purpose: To develop a radiomics filtering technique for characterizing spatial-encoded regional pulmonary ventilation information on lung CT. Methods: The lung volume was segmented…