Zobrazeno 1 - 10
of 417
pro vyhledávání: '"Li, Yingmin"'
Autor:
Yang, Huihuang1 (AUTHOR), Li, Yingmin1 (AUTHOR), Zhu, Weihao1 (AUTHOR) 22033100274@stu.hebmu.edu.cn, Feng, Xiaowei1 (AUTHOR), Xin, Hongjian1 (AUTHOR), Chen, Hao1 (AUTHOR), Zhang, Guozhong1 (AUTHOR), Zuo, Min1 (AUTHOR), Cong, Bin1 (AUTHOR) cong6406@hebmu.edu.cn, Shi, Weibo1 (AUTHOR) cong6406@hebmu.edu.cn
Publikováno v:
International Journal of Molecular Sciences. Oct2024, Vol. 25 Issue 20, p11317. 15p.
Autor:
Shi, Rui1 (AUTHOR), Li, Yingmin1 (AUTHOR), Zhu, Weihao1 (AUTHOR) 22033100275@stu.hebmu.edu.cn, Xin, Hongjian1 (AUTHOR), Yang, Huihuang1 (AUTHOR), Feng, Xiaowei1 (AUTHOR), Wang, Zhen1 (AUTHOR), Li, Shujin1 (AUTHOR), Cong, Bin1 (AUTHOR) cong6406@hebmu.edu.cn, Shi, Weibo1 (AUTHOR) cong6406@hebmu.edu.cn
Publikováno v:
International Journal of Molecular Sciences. Aug2024, Vol. 25 Issue 15, p8075. 17p.
Autor:
Wu, Zheqian, Li, Yingmin
Publikováno v:
In Journal of Building Engineering 1 December 2024 98
Autor:
Bai, Minghui, Liu, Tongyu, Liu, Bao, Li, Yingmin, Yu, He, Zhao, Yunpeng, Yang, Chao, Song, Lai, Liu, Weihua
Publikováno v:
In Surface & Coatings Technology 15 August 2024 489
Autor:
Wu, Zheqian, Li, Yingmin
Publikováno v:
In Soil Dynamics and Earthquake Engineering August 2024 183
Publikováno v:
In Materials Chemistry and Physics 1 March 2024 315
Autor:
Yang, Tengfei, Kong, Jiangwei, Shao, Xilin, Meng, Zilin, Liang, Peiyu, Zhou, Nian, Jing, Jiayu, Zhang, Fu, Cheng, Ming, Liu, Zengjia, Xu, Xiang, Li, Yingmin, Guo, Yadong, Wang, Tao, Chen, Jianhua, Sun, Xupeng, Zhang, Zhong, Zhang, Feng, Jin, Bo, Wang, Wei, Huang, Mengxue, Zhang, Kui, Wang, Huijun, Li, Dongri
Publikováno v:
In Forensic Science International January 2024 354
Akademický článek
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Hybrid materials are crucial in photovoltaics where the overall efficiency of the heterostructure is closely related to the level of charge transfer at the interface. Here, using various metal / poly(3-hexylthiophene)(P3HT) heterostructure models, we
Externí odkaz:
http://arxiv.org/abs/1908.06269
Deep neural networks (DNNs) have been shown to outperform conventional machine learning algorithms across a wide range of applications, e.g., image recognition, object detection, robotics, and natural language processing. However, the high computatio
Externí odkaz:
http://arxiv.org/abs/1903.07676