Zobrazeno 1 - 10
of 2 064
pro vyhledávání: '"Wan, Zhong"'
Autor:
Sorensen, Benedikt Barthel, Zepeda-Núñez, Leonardo, Lopez-Gomez, Ignacio, Wan, Zhong Yi, Carver, Rob, Sha, Fei, Sapsis, Themistoklis
Chaotic systems, such as turbulent flows, are ubiquitous in science and engineering. However, their study remains a challenge due to the large range scales, and the strong interaction with other, often not fully understood, physics. As a consequence,
Externí odkaz:
http://arxiv.org/abs/2408.02688
Autor:
Schiff, Yair, Wan, Zhong Yi, Parker, Jeffrey B., Hoyer, Stephan, Kuleshov, Volodymyr, Sha, Fei, Zepeda-Núñez, Leonardo
Learning dynamics from dissipative chaotic systems is notoriously difficult due to their inherent instability, as formalized by their positive Lyapunov exponents, which exponentially amplify errors in the learned dynamics. However, many of these syst
Externí odkaz:
http://arxiv.org/abs/2402.04467
Autor:
Boral, Anudhyan, Wan, Zhong Yi, Zepeda-Núñez, Leonardo, Lottes, James, Wang, Qing, Chen, Yi-fan, Anderson, John Roberts, Sha, Fei
We introduce a data-driven learning framework that assimilates two powerful ideas: ideal large eddy simulation (LES) from turbulence closure modeling and neural stochastic differential equations (SDE) for stochastic modeling. The ideal LES models the
Externí odkaz:
http://arxiv.org/abs/2306.01174
Autor:
Jun He, Xiao-Jun Li, Wan-Zhong Tan, Xiao-Qu Wu, Dan Wu, Zong-Long Luo, Qi Wu Zhou, E-Xian Li, Shu-Hong Li
Publikováno v:
MycoKeys, Vol 106, Iss , Pp 97-116 (2024)
Ganoderma is a large and diverse genus containing fungi that cause white rot to infect a number of plant families. This study describes G. phyllanthicola and G. suae as new species from Southwest China, based on morphological and molecular evidence.
Externí odkaz:
https://doaj.org/article/ad44e82d851743c09b6f54c6721c1512
Autor:
Wan, Zhong Yi, Baptista, Ricardo, Chen, Yi-fan, Anderson, John, Boral, Anudhyan, Sha, Fei, Zepeda-Núñez, Leonardo
We introduce a two-stage probabilistic framework for statistical downscaling using unpaired data. Statistical downscaling seeks a probabilistic map to transform low-resolution data from a biased coarse-grained numerical scheme to high-resolution data
Externí odkaz:
http://arxiv.org/abs/2305.15618
Autor:
Wan, Zhong, Qiu, Gang, Ren, Huaying, Qian, Qi, Xu, Dong, Zhou, Jingyuan, Zhou, Jingxuan, Zhou, Boxuan, Wang, Laiyuan, Huang, Yu, Wang, Kang L., Duan, Xiangfeng
Chiral superconductors, a unique class of unconventional superconductors in which the complex superconducting order parameter winds clockwise or counter-clockwise in the momentum space, represent a topologically non-trivial system with direct implica
Externí odkaz:
http://arxiv.org/abs/2302.05078
We present a data-driven, space-time continuous framework to learn surrogate models for complex physical systems described by advection-dominated partial differential equations. Those systems have slow-decaying Kolmogorov n-width that hinders standar
Externí odkaz:
http://arxiv.org/abs/2301.10391
Publikováno v:
Molecular and Cellular Probes, Vol 77, Iss , Pp 101977- (2024)
Objective: Utilizing transcriptome analysis to investigate the mechanisms and therapeutic approaches for cisplatin resistance in non-small cell lung cancer (NSCLC). Methods: Firstly, the biological characters of A549 cells and A549/DDP cells were det
Externí odkaz:
https://doaj.org/article/fea26f2628dc456e8f09da5ce9108b8e
Autor:
Xu, Jiang-Hai, Zhang, Ben-Xi, Zhu, Kai-Qi, Zheng, Xiu-Yan, Zhang, Cong-Lei, Chen, Zhang-Liang, Yang, Yan-Ru, Huang, Tai-Ming, Bo, Zheng, Wan, Zhong-Min, Hsu, Shu-Han, Yan, Wei-Mon, Wang, Xiao-Dong
Publikováno v:
In International Journal of Hydrogen Energy 28 August 2024 80:916-925
Autor:
Xu, Jia-Feng, Wu, Jia-Cheng, Ruan, Lu-Jiong, Tian, Wei, Yan, Xi, Chen, Yan, Guo, Xiao-Jing, Lang, Wan-Zhong
Publikováno v:
In Journal of Membrane Science July 2024 707