Zobrazeno 1 - 10
of 246
pro vyhledávání: '"Jiang, Yupeng"'
Autor:
Zeng, Haizhou1 (AUTHOR) zenghaizhou1224@163.com, Jiang, Yupeng1 (AUTHOR), Yin, Qiuxiong1 (AUTHOR), Li, Xinran1 (AUTHOR), Xiong, Yanli1 (AUTHOR), Li, Boyi1 (AUTHOR), Xu, Xiaoying1 (AUTHOR), Hu, Huimei1 (AUTHOR), Qian, Guoqiang1 (AUTHOR) tgqqian@gdpu.edu.cn
Publikováno v:
International Journal of Molecular Sciences. Oct2024, Vol. 25 Issue 19, p10262. 16p.
Autor:
Shi, Shuai, Wang, Christopher, Cai, Qidong, Yang, Rui, Peng, Muyun, Liang, Hengxing, Qian, Banglun, Jiang, Yupeng, Xiao, Bing, Wang, Li, Tao, Yongguang, Cai, Juan, Zhao, Zhenyu
Publikováno v:
In Life Sciences 1 December 2024 358
Publikováno v:
In Computers and Geotechnics December 2024 176
Publikováno v:
Acta Geotech. 17 (2022) 5597-5612
Granular impact -- the dynamic intrusion of solid objects into granular media -- is widespread across scientific and engineering applications including geotechnics. Existing approaches for simulating granular impact dynamics have relied on either a p
Externí odkaz:
http://arxiv.org/abs/2108.02080
In this paper, we investigate the power functions $F(x)=x^d$ over the finite field $\mathbb{F}_{2^{4n}}$, where $n$ is a positive integer and $d=2^{3n}+2^{2n}+2^{n}-1$. It is proved that $F(x)=x^d$ is APcN at certain $c$'s in $\mathbb{F}_{2^{4n}}$, a
Externí odkaz:
http://arxiv.org/abs/2107.06464
Publikováno v:
Comput. Methods Appl. Mech. Engrg. 393 (2021) 114820
We present a barrier method for treating frictional contact on interfaces embedded in finite elements. The barrier treatment has several attractive features, including: (i) it does not introduce any additional degrees of freedom or iterative steps, (
Externí odkaz:
http://arxiv.org/abs/2107.05814
Publikováno v:
In Cell Reports Physical Science 17 April 2024 5(4)
Gd-MOF composites luminescent arrays for highly sensitive detection of epileptic drug and biomarkers
Autor:
Jiang, Yupeng, Fang, Xinhui, Ni, Ying, Huo, Jianzhong, Wang, Qian, Liu, Yuanyuan, Wang, Xinrui, Ding, Bin
Publikováno v:
In Chemical Engineering Journal 1 January 2024 479
In federated learning, machine learning and deep learning models are trained globally on distributed devices. The state-of-the-art privacy-preserving technique in the context of federated learning is user-level differential privacy. However, such a m
Externí odkaz:
http://arxiv.org/abs/2010.10572
We propose a method for the simulation of particle fragmentation based on the calculation of the energy landscape inside the particle. The landscape of strain energy is calculated in terms of internal stress using the principles of damage and fractur
Externí odkaz:
http://arxiv.org/abs/2003.14067