Zobrazeno 1 - 10
of 48
pro vyhledávání: '"WU Qixuan"'
Autor:
Han, Linjia, Meng, Fanqi, Bai, Xianhua, Wu, Qixuan, Luo, Yanhong, Shi, Jiangjian, Li, Yaguang, Li, Dongmei, Meng, Qingbo
The synthesis of solar methanol through direct CO2 hydrogenation using solar energy is of great importance in advancing a sustainable energy economy. In this study, non-precious NiZn intermetallic/ZnO catalyst is reported to catalyze the hydrogenatio
Externí odkaz:
http://arxiv.org/abs/2404.14085
Autor:
WU Qixuan, MA Jianfeng, SUN Cong
Publikováno v:
网络与信息安全学报, Vol 5, Iss 2, Pp 50-57 (2019)
In order to avert the drawback of traditional information flow integrity analysis on ignoring the specific system architecture and associated attack events, an integrity threat tree to quantify the integrity of the system information flow, and the co
Externí odkaz:
https://doaj.org/article/372767669e5543799522325591fead5c
Publikováno v:
J. Phys. B: At. Mol. Opt. Phys. 43 (2010) 045505
In this paper,we have investigated three external fields interacting with the four-level atomic system described by the density-matrix approach.The atomic system exhibits left-handedness with zero absorption as well as large negative refractive index
Externí odkaz:
http://arxiv.org/abs/2403.00042
Autor:
Li, Yaguang, Meng, Fanqi, Wu, Qixuan, Yuan, Dachao, Wang, Haixiao, Liu, Bang, Wang, Junwei, San, Xingyuan, Gu, Lin, Wang, Shufang, Meng, Qingbo
Herein, NiO nanosheets supported with Ag single atoms are synthesized for photothermal CO2 hydrogenation to achieve 1065 mmol g$^{-1}$ h$^{-1}$ of CO production rate under 1 sun irradiation, revealing the unparalleled weak sunlight driven reverse wat
Externí odkaz:
http://arxiv.org/abs/2307.12783
Publikováno v:
Hangkong bingqi, Vol 30, Iss 6, Pp 96-108 (2023)
The attitude tracking control problem of an overdriven quadrotor aircraft experimental platform is studied. The platform has unknown input disturbances and angular velocity cannot be measured, and the motor also has dead zone and saturation nonlinear
Externí odkaz:
https://doaj.org/article/6dd3d89117fb4ae48405f9bb5b28d447
Publikováno v:
In Heliyon 30 May 2024 10(10)
Publikováno v:
In Journal of Autoimmunity April 2024 144
Publikováno v:
In Energy 1 January 2024 286
The ubiquity of deep neural networks (DNNs), cloud-based training, and transfer learning is giving rise to a new cybersecurity frontier in which unsecure DNNs have `structural malware' (i.e., compromised weights and activation pathways). In particula
Externí odkaz:
http://arxiv.org/abs/2008.00123
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