Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Kefan Zhao"'
Publikováno v:
Ecological Indicators, Vol 154, Iss , Pp 110615- (2023)
Analysis of the phylogenetic structure of a community based on the phylogenetic relationships among species in the community can reflect the ecological process of community composition and determine the mechanism of plant community construction. In t
Externí odkaz:
https://doaj.org/article/3637487579bd4ba8aced5b2ee87822bf
Publikováno v:
ACS Omega, Vol 5, Iss 11, Pp 6221-6227 (2020)
Externí odkaz:
https://doaj.org/article/62e7deb85eae4cebbf84607f4719fd6b
Autor:
Guohui Li, Kai Lin, Kefan Zhao, Yang Huang, Ting Ji, Linlin Shi, Yuying Hao, Qihua Xiong, Kaibo Zheng, Tonu Pullerits, Yanxia Cui
Publikováno v:
Advanced Materials. 35
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4dd121598146cea230a85aa4c9e498ba
https://doi.org/10.1002/adma.202211591
https://doi.org/10.1002/adma.202211591
Publikováno v:
ACS Omega, Vol 5, Iss 11, Pp 6221-6227 (2020)
ACS Omega
ACS Omega
A series of excellent works have demonstrated that high-nitrogen-content metal pentazolate (cyclo-N5–) compounds could be stabilized by high pressure. However, under ambient conditions, low stability precludes their synthesis and application in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3d4a12dbac5e415f0d38abf086154e8
https://doaj.org/article/62e7deb85eae4cebbf84607f4719fd6b
https://doaj.org/article/62e7deb85eae4cebbf84607f4719fd6b
Publikováno v:
Computers & Chemical Engineering. 166:107978
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee3de7b902bea57c54b5ab3dfeae7bd1
https://doi.org/10.1016/j.compchemeng.2022.107978
https://doi.org/10.1016/j.compchemeng.2022.107978
Publikováno v:
2020 2nd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM).
In order to make our autonomous intelligent park vehicles against established track has a good path tracking effect, a path tracking control method based on model prediction control (MPC) is proposed, using particle swarm optimization algorithm contr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe8a96c0ebffa2c4b40066ecae303d4a
https://doi.org/10.1109/aiam50918.2020.00016
https://doi.org/10.1109/aiam50918.2020.00016