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1,700 results on '"Yang, Wenlong"'

1. Asymptotic symmetry of solutions for reaction-diffusion equations via elliptic geometry

Author

Liu, Baiyu and Yang, Wenlong

Subjects
Mathematics - Analysis of PDEs, 35R11, 35B07
Abstract

In this paper, we investigate the asymptotic symmetry and monotonicity of positive solutions to a reaction-diffusion equation in the unit ball, utilizing techniques from elliptic geometry. Firstly, we discuss the properties of solutions in the elliptic space. Then, we establish crucial principles, including the asymptotic narrow region principle.Finally, we employ the method of moving planes to demonstrate the asymptotic symmetry of the solutions.

Published
2024

2. Achieving High Yield of Perpendicular SOT-MTJ Manufactured on 300 mm Wafers

Author

Yang, Wenlong, Ji, Zhenghui, Gao, Yang, Zhou, Kaiyuan, Guo, Qijun, Zeng, Dinggui, Wang, Shasha, Wang, Ming, Shen, Lijie, Chen, Guilin, Sun, Yihui, Liu, Enlong, and He, Shikun

Subjects
Physics - Applied Physics, J.2.6
Abstract

The large-scale fabrication of three-terminal magnetic tunnel junctions (MTJs) with high yield is becoming increasingly crucial, especially with the growing interest in spin-orbit torque (SOT) magnetic random access memory (MRAM) as the next generation of MRAM technology. To achieve high yield and consistent device performance in MTJs with perpendicular magnetic anisotropy, an integration flow has been developed that incorporates special MTJ etching technique and other CMOS-compatible processes on a 300 mm wafer manufacturing platform. Systematic studies have been conducted on device performance and statistical uniformity, encompassing magnetic properties, electrical switching behavior, and reliability. Achievements include a switching current of 680 uA at 2 ns, a TMR as high as 119%, ultra-high endurance (over 1012 cycles), and excellent uniformity in the fabricated SOT-MTJ devices, with a yield of up to 99.6%. The proposed integration process, featuring high yield, is anticipated to streamline the mass production of SOT-MRAM., Comment: 8 pages, 5 figures

Published
2024
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11. A Likelihood Approach to Incorporating Self-Report Data in HIV Recency Classification

Author

Yang, Wenlong, Liu, Danping, Bao, Le, and Li, Runze

Subjects
Statistics - Applications
Abstract

Estimating new HIV infections is significant yet challenging due to the difficulty in distinguishing between recent and long-term infections. We demonstrate that HIV recency status (recent v.s. long-term) could be determined from the combination of self-report testing history and biomarkers, which are increasingly available in bio-behavioral surveys. HIV recency status is partially observed, given the self-report testing history. For example, people who tested positive for HIV over one year ago should have a long-term infection. Based on the nationally representative samples collected by the Population-based HIV Impact Assessment (PHIA) Project, we propose a likelihood-based probabilistic model for HIV recency classification. The model incorporates both labeled and unlabeled data and integrates the mechanism of how HIV recency status depends on biomarkers and the mechanism of how HIV recency status, together with the self-report time of the most recent HIV test, impacts the test results, via a set of logistic regression models. We compare our method to logistic regression and the binary classification tree (current practice) on Malawi, Zimbabwe, and Zambia PHIA data, as well as on simulated data. Our model obtains more efficient and less biased parameter estimates and is relatively robust to potential reporting error and model misspecification.

Published
2023

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