Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Yanzhan Chen"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract The evaluation of creep rupture life is complex due to its variable formation mechanism. In this paper, machine learning algorithms are applied to explore the creep rupture life span as a function of 27 physical properties to address this is
Externí odkaz:
https://doaj.org/article/eb3fb189cabf4900b1821c021b89f8c3
Autor:
Yanzhan Chen, Fan Yu
Publikováno v:
Mathematics, Vol 11, Iss 23, p 4762 (2023)
Autonomous driving technology heavily depends on accurate and smooth path tracking. Facing complex urban driving scenarios, developing a suite of high-performance and robust parameters for controllers becomes imperative. This paper proposes a stochas
Externí odkaz:
https://doaj.org/article/861af3b8122f428fb3afe3e2a3a531f7
Publikováno v:
Structural and Multidisciplinary Optimization. 66
Publikováno v:
Journal of the Brazilian Society of Mechanical Sciences and Engineering. 43
With the development of machine learning and data mining, rapid design, rapid verification and rapid manufacturing have become the mainstream in the machinery industry. In this paper, the mapping function between the mechanical properties of the hood
Autor:
Xiong-Fei Zhang, Jianfeng Yao, Yi Feng, Xingguang Zhang, Mingmin Jia, Jianhao Qiu, Yanzhan Chen
Publikováno v:
Journal of Alloys and Compounds. 705:392-398
The reduced graphene oxide (RGO) loaded Zn 0.5 Cd 0.5 S nanocomposite has been successfully prepared by a facile solvothermal method. The as-prepared photocatalysts were characterized by a combination of X-ray diffraction (XRD), scanning electron mic