Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Alamusi Lee"'
Autor:
Xuewei Shi, Alamusi Lee, Bo Yang, Huiming Ning, Haowen Liu, Kexu An, Hansheng Liao, Kaiyan Huang, Jie Wen, Xiaolin Luo, Lidan Zhang, Bin Gu, Ning Hu
Publikováno v:
Advanced Science, Vol 11, Iss 30, Pp n/a-n/a (2024)
Abstract Soft robots have the advantage of adaptability and flexibility in various scenarios and tasks due to their inherent flexibility and mouldability, which makes them highly promising for real‐world applications. The development of electronic
Externí odkaz:
https://doaj.org/article/5e5a8bc6fb0a454e80d26b5539fd4c02
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract Ignition advance angle is one of the important factors affecting the performance of the engine, when it occurs abnormally will make the engine power and economy worse, and even cause serious damage to the engine. Therefore, it is very necess
Externí odkaz:
https://doaj.org/article/17e4952f0c9149b3a5e420fba700cb1e
Publikováno v:
Langmuir : the ACS journal of surfaces and colloids. 38(49)
The accumulation of ice may cause serious safety problems in numerous fields. A photothermal superhydrophobic surface is considered to be useful for preventing ice formation because of its environmentally friendly, energy-saving, and excellent anti-i
Publikováno v:
Polymers; Volume 14; Issue 16; Pages: 3273
In order to obtain high dielectric silicone rubber (SR)-based nanocomposites, graphene (Gr) was added by ultrasonication and mechanical mixing for the preparation of a microporous structure. It was discovered that the Gr content and the expansion rat
Publikováno v:
Polymers, Vol 14, Iss 409, p 409 (2022)
Polymers; Volume 14; Issue 3; Pages: 409
Polymers; Volume 14; Issue 3; Pages: 409
In this paper, a multifunctional slippery polydimethylsiloxane/carbon nanotube composite strain sensor (SPCCSS) is prepared using a facile template method. Benefitting from the slippery surface, the SPCCSS shows excellent liquid repellence properties
Autor:
Lingxiao Gao, Miaomiao Bu, Lei Zhai, Ning Hu, Kejie Dai, Liangke Wu, Alamusi Lee, Ziying Wang, Xiao Jing Mu
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Computational Materials Science. 203:111114