Zobrazeno 1 - 10
of 236
pro vyhledávání: '"Jianqing Jiang"'
Autor:
Wenyi Huo, Shiqi Wang, F. Javier Dominguez-Gutierrez, Kai Ren, Łukasz Kurpaska, Feng Fang, Stefanos Papanikolaou, Hyoung Seop Kim, Jianqing Jiang
Publikováno v:
Materials Research Letters, Vol 11, Iss 9, Pp 713-732 (2023)
High-entropy materials, for both complexity in structure and superiority in performance, have been widely confirmed to be one possible kind of advanced electrocatalyst. Significant efforts have been dedicated to modeling the atomic-level details of h
Externí odkaz:
https://doaj.org/article/8cd2dd33fa65464a8093fdfbd03accb8
Autor:
Wenyi Huo, Shiqi Wang, Feng Fang, Shuyong Tan, Łukasz Kurpaska, Zonghan Xie, Hyoung Seop Kim, Jianqing Jiang
Publikováno v:
Journal of Materials Research and Technology, Vol 20, Iss , Pp 1677-1684 (2022)
The medium-entropy alloy is a newly intriguing material showing superb properties. A simple, one-step method was developed to electrodeposit CoNiFe medium-entropy alloy films from a sulfate and citrate bath. The microstructure and corrosion resistanc
Externí odkaz:
https://doaj.org/article/a4c3d7a4da76424bb60ba052c9528a4a
Autor:
Wenhan Zhu, Wenyi Huo, Shiqi Wang, Xu Wang, Kai Ren, Shuyong Tan, Feng Fang, Zonghan Xie, Jianqing Jiang
Publikováno v:
Journal of Materials Research and Technology, Vol 18, Iss , Pp 800-809 (2022)
High-entropy alloys (HEAs) represent prospective applications considering their outstanding mechanical properties. The properties in HEAs can be affected by the phase structure. Artificial neural network (ANN) is a promising machine learning approach
Externí odkaz:
https://doaj.org/article/6e1a78bb47554d86a03057003f6c2267
Autor:
Minghua Zhang, Daohua Chen, Qiang Wang, Ying Li, Shiming Huang, Peng Zhan, Jiajing Lai, Jianqing Jiang, Dongfeng Chen
Publikováno v:
Frontiers in Surgery, Vol 9 (2023)
ObjectiveThis study was performed to compare the clinical effect of arthroscopic debridement vs. arthroscopic microfracture in the treatment of osteochondral lesions of the talus.MethodsWe retrospectively reviewed patients with osteochondral lesion o
Externí odkaz:
https://doaj.org/article/0736fb30f3f74a32a228c901448a43f8
Publikováno v:
Applied Sciences, Vol 13, Iss 13, p 7654 (2023)
Sound signals generated during rock failure contain useful information about crack development. A sound-signal-based identification method for crack types is proposed. In this method, the sound signals of tensile cracks, using the Brazilian splitting
Externí odkaz:
https://doaj.org/article/a7a3415c4d9240968f909ab0ca02c650
Publikováno v:
Applied Sciences, Vol 13, Iss 10, p 6297 (2023)
The aim of this paper is to clarify the negative pressure distribution in drainage structures of soft foundations reinforced by vacuum preloading. The focus of this study was an actual engineering project, the Beijing–Shanghai high-speed railway; f
Externí odkaz:
https://doaj.org/article/13d40d3da33546748a18c14a3eb4c284
Autor:
Ailifeila Aierken, Shilin Luo, Jianqing Jiang, Linlin Chong, Jin Chang, Rui Zhang, Xiangchao Zhang
Publikováno v:
Geofluids, Vol 2022 (2022)
Grouting mortar has widespread application in engineering because of the advantages of good durability, low cost, and environmental friendliness. To study the flowing properties of grouting mortar, laboratory minislump tests taking different rheologi
Externí odkaz:
https://doaj.org/article/e9463e90a7124442abaeb60faecc7f92
Autor:
Shilin Luo, Mingquan Liu, Jianqing Jiang, Ailifeila Aierken, Jin Chang, Xuewen Zhang, Rui Zhang
Publikováno v:
Geofluids, Vol 2022 (2022)
To study the pile–soil interaction mechanism of capped pile, an analytical method considering the load action of soil under the pile cap is proposed. The shearing displacement method is used to derive the lateral friction of pile body under the pil
Externí odkaz:
https://doaj.org/article/74f8e6c6f16b40e3a453ad52907f83b3
Publikováno v:
Biology Direct, Vol 14, Iss 1, Pp 1-13 (2019)
Abstract Background CB2 (cannabinoid receptor 2) agonists have been shown to exert anti-tumor activities in different tumor types. However, there is no study exploring the role of MDA19 (a novel CB2 agonist) in tumors. In this study we aimed to inves
Externí odkaz:
https://doaj.org/article/be9a256dec4a4f8da20db8cbb327031d
Publikováno v:
IEEE Access, Vol 7, Pp 27535-27546 (2019)
The Gaussian process regression (GPR) model, which is a powerful machine learning tool for probabilistic prediction, is introduced into slope displacement prediction. Using this model, the displacements of the slope of the permanent ship lock of the
Externí odkaz:
https://doaj.org/article/647b938e979f4cc9b8415b1c20f059c9