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1,581 results on '"Zhang, Xiaoxiao"'

1. Combinatorial Calabi flows with ideal circle patterns

Author

Zhang, Xiaoxiao

Subjects
Mathematics - Differential Geometry, Mathematics - Geometric Topology
Abstract

In this paper, we extend the work of Ge-Hua-Zhou \cite{GHZ} on combinatorial Ricci flows for ideal circle patterns to combinatorial Calabi flows in both hyperbolic and Euclidean background geometry. We prove the solution to the combinatorial Calabi flows with any given initial Euclidean (hyperbolic resp.)ideal circle pattern exists for all time and converges exponentially fast to a flat cone metric (hyperbolic resp.) on a given surface.

Published
2025

12. Phases and magnetism at the microscale in compounds containing nominal Pb10-xCux(PO4)6O

Author

Liu, Chang, Cheng, Wenxin, Zhang, Xiaoxiao, Xu, Juan, Li, Jiaxin, Shi, Qiuyan, Yuan, Changhong, Xu, Li, Zhou, Honglin, Zhu, Shilin, Sun, Jianping, Wu, Wei, Luo, Jianlin, Jin, Kui, and Li, Yangmu

Subjects
Condensed Matter - Materials Science, Condensed Matter - Superconductivity
Abstract

Achieving superconductivity at room temperature could lead to substantial advancements in industry and technology. Recently, a compound known as Cu-doped lead-apatite, Pb10-xCux(PO4)6O (0.9 < x < 1.1), referred to as "LK-99", has been reported to exhibit unusual electrical and magnetic behaviors that appear to resemble a superconducting transition above room temperature. In this work we collected multiphase samples containing the nominal Pb10-xCux(PO4)6O phase (no superconductivity observed in our measured samples), synthesized by three independent groups, and studied their chemical, magnetic, and electrical properties at the microscale to overcome difficulties in bulk measurements. Through the utilization of optical, scanning electron, atomic force, and scanning diamond nitrogen-vacancy microscopy techniques, we are able to establish a link between local magnetic properties and specific microscale chemical phases. Our findings indicate that while the Pb10-xCux(PO4)6O phase seems to have a mixed magnetism contribution, a significant fraction of the diamagnetic response can be attributed to Cu-rich regions (e.g., Cu2S derived from a reagent used in the synthesis). Additionally, our electrical measurements reveal the phenomenon of current path switch and a change in resistance states of Cu2S. This provides a potential explanation for the electrical behavior observed in compounds related to Pb10-xCux(PO4)6O., Comment: 14 pages, 5 figures; Physical Review Materials

Published
2023

27. Ultrasound Viscosity Imaging in Breast Lesions: A Multicenter Prospective Study

Author

Jia, WanRu, Xia, ShuJun, Jia, XiaoHong, Tang, BingHui, Cheng, ShuZhen, Nie, MeiYuan, Guan, Ling, Duan, Ying, Zhang, MengYan, Chen, Xia, Zhang, Hui, Bai, BaoYan, Jia, HaiYun, Li, Ning, Yuan, CongCong, Cai, EnHeng, Dong, YiJie, Zhang, JingWen, Jia, Yi, Liu, Juan, Tang, ZhenYun, Luo, Ting, Zhang, XiaoXiao, Zhan, WeiWei, Zhu, Ying, and Zhou, JianQiao

Published
2024
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29. A hierarchical residual network with compact triplet-center loss for sketch recognition

Author

Wang, Lei, Zhang, Shihui, He, Huan, Zhang, Xiaoxiao, and Sang, Yu

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

With the widespread use of touch-screen devices, it is more and more convenient for people to draw sketches on screen. This results in the demand for automatically understanding the sketches. Thus, the sketch recognition task becomes more significant than before. To accomplish this task, it is necessary to solve the critical issue of improving the distinction of the sketch features. To this end, we have made efforts in three aspects. First, a novel multi-scale residual block is designed. Compared with the conventional basic residual block, it can better perceive multi-scale information and reduce the number of parameters during training. Second, a hierarchical residual structure is built by stacking multi-scale residual blocks in a specific way. In contrast with the single-level residual structure, the learned features from this structure are more sufficient. Last but not least, the compact triplet-center loss is proposed specifically for the sketch recognition task. It can solve the problem that the triplet-center loss does not fully consider too large intra-class space and too small inter-class space in sketch field. By studying the above modules, a hierarchical residual network as a whole is proposed for sketch recognition and evaluated on Tu-Berlin benchmark thoroughly. The experimental results show that the proposed network outperforms most of baseline methods and it is excellent among non-sequential models at present.

Published
2021

37. Transport of Finite Size Self-Propelled Particles Confined in a 2D Zigzag Channel with Gaussian Colored Noise

Author

Wang, Bing, Wu, Yong, Zhang, Xiaoxiao, and Chen, Hao

Subjects
Condensed Matter - Statistical Mechanics, Nonlinear Sciences - Chaotic Dynamics
Abstract

The directional transport of finite size self-propelled Brownian particles confined in a 2D zigzag channel with colored noise is investigated. The noises(noise parallel to x-axis and y-axis), the asymmetry parameter {\Delta}k, the ratio f(ratio of the particle radius and the bottleneck half width), the selfpropelled speed v0 have joint effect on the particles. The average velocity of self-propelled particles is significantly different from passive particles. The average velocity exhibits complicated behavior with increasing self-propelled speed v0

Published
2020
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47. Online Path Planning in a Multi-agent-Controlled Manufacturing System

Author

Ramasamy, Sudha, Bennulf, Mattias, Zhang, Xiaoxiao, Hammar, Samuel, Danielsson, Fredrik, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Haddar, Mohamed, Editorial Board Member, Kwon, Young W., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Kim, Kyoung-Yun, editor, Monplaisir, Leslie, editor, and Rickli, Jeremy, editor

Published
2023
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