Zobrazeno 1 - 10
of 1 317
pro vyhledávání: '"ZHANG Xiaoran"'
Publikováno v:
Nonlinear Engineering, Vol 10, Iss 1, Pp 245-254 (2021)
Recently, researchers are investing more fervently in fault diagnosis area of electrical machines. The users and manufacturers of these various efforts are strong to contain diagnostic features in software for improving reliability and scalability. I
Externí odkaz:
https://doaj.org/article/ab2863de282a49bba405ac432cb5c233
Autor:
Tang, Yuan-Han, Zhang, Xiaoran, Liu, Kang-Yuan, Xia, Fan, Zheng, Huijie, Liu, Xiaobing, Pan, Xin-Yu, Fan, Heng, Liu, Gang-Qin
As a point defect with unique spin and optical properties, nitrogen-vacancy (NV) center in diamond has attracted much attention in the fields of quantum sensing, quantum simulation, and quantum networks. The optical properties of an NV center are cru
Externí odkaz:
http://arxiv.org/abs/2409.17442
An algorithm for a family of self-starting high-order implicit time integration schemes with controllable numerical dissipation is proposed for both linear and nonlinear transient problems. This work builds on the previous works of the authors on ela
Externí odkaz:
http://arxiv.org/abs/2409.13397
Autor:
Wang, Chengbo, Zhang, Xiaoran
In this manuscript, we focus on the more delicate nonlinearity of the semilinear wave equation $$\partial_{t}^2 u-\Delta_{\mathbb{R}^3}u=|u|^{p_S}\mu(|u|)\ ,u(0,x)=\varepsilon u_0,\ u_t(0,x)=\varepsilon u_1\ ,$$ where $p_S=1+\sqrt{2}$ is the Strauss
Externí odkaz:
http://arxiv.org/abs/2405.12761
Autor:
Zhang, Xiaoran, Stendahl, John C., Staib, Lawrence, Sinusas, Albert J., Wong, Alex, Duncan, James S.
We propose an adaptive training scheme for unsupervised medical image registration. Existing methods rely on image reconstruction as the primary supervision signal. However, nuisance variables (e.g. noise and covisibility), violation of the Lambertia
Externí odkaz:
http://arxiv.org/abs/2312.00837
Autor:
Zhang, Xiaoran, Pak, Daniel H., Ahn, Shawn S., Li, Xiaoxiao, You, Chenyu, Staib, Lawrence H., Sinusas, Albert J., Wong, Alex, Duncan, James S.
Deep learning methods for unsupervised registration often rely on objectives that assume a uniform noise level across the spatial domain (e.g. mean-squared error loss), but noise distributions are often heteroscedastic and input-dependent in real-wor
Externí odkaz:
http://arxiv.org/abs/2312.00836
Publikováno v:
Jichu yixue yu linchuang, Vol 44, Iss 11, Pp 1487-1491 (2024)
Electrical impedance tomography (EIT) is an emerging imaging technology developed at the end of the last century, which has outstanding advantages such as non-invasiveness, non-radiation, smart, low cost and easy operation. This article reviews the d
Externí odkaz:
https://doaj.org/article/ac693e0de51b4b288bc66da6cead8a4b
Autor:
Zhang, Xiaoran
In this paper, we verified the critical conjecture in our previous work \cite{wang2023wave} on two-dimensional hyperbolic space, that is, concerning nonlinear wave equations with logarithmic nonlinearity, which behaves like $\left(\ln {1}/{|u|}\right
Externí odkaz:
http://arxiv.org/abs/2309.10384
Autor:
Wang, Chengbo, Zhang, Xiaoran
In light of the exponential decay of solutions of linear wave equations on hyperbolic spaces $\mathbb{H}^n$, to illustrate the critical nature, we investigate nonlinear wave equations with logarithmic nonlinearity, which behaves like $\left(\ln {1}/{
Externí odkaz:
http://arxiv.org/abs/2304.01595
Autor:
Xing, Xiangzhuo, Wang, Chao, Yu, Linchao, Xu, Jie, Zhang, Chutong, Zhang, Mengge, Huang, Song, Zhang, Xiaoran, Yang, Bingchao, Chen, Xin, Zhang, Yongsheng, Guo, Jian-gang, Shi, Zhixiang, Ma, Yanming, Chen, Changfeng, Liu, Xiaobing
Publikováno v:
Nat. Commun. 14, 5991 (2023)
The recent report of near-ambient superconductivity in nitrogen doped lutetium hydride has triggered a worldwide fanaticism and raised major questions about the latest claims. An intriguing phenomenon of color changes in pressurized samples from blue
Externí odkaz:
http://arxiv.org/abs/2303.17587