Zobrazeno 1 - 10
of 449
pro vyhledávání: '"Shi, Yuting"'
Autor:
Chen, Shuang1 (AUTHOR), Shi, Yuting2,3 (AUTHOR), Wan, Linlin2,3,4,5 (AUTHOR), Liu, Jing1 (AUTHOR), Wan, Yongyan1 (AUTHOR), Jiang, Hong2,3,4,5,6 (AUTHOR), Qiu, Rong1 (AUTHOR) qiurongrong@126.com
Publikováno v:
BioMedical Engineering OnLine. 7/31/2024, Vol. 23 Issue 1, p1-20. 20p.
Publikováno v:
In Chemical Engineering Science 5 July 2024 293
Autor:
Novodárszki, Gyula, Lónyi, Ferenc, Csík, Balázs, Mihályi, Magdolna R., Barthos, Róbert, Valyon, József, Vikár, Anna, Deka, Dhanapati, Pászti, Zoltán, Shi, Yuting, Solt, Hanna E.
Publikováno v:
In Applied Catalysis A, General 25 June 2024 680
Autor:
Lin, Siru, Chen, Junhong, Li, Ke, Liu, Yang, Fu, Siyuan, Xie, Shumin, Zha, Aimin, Xin, Aiguo, Han, Xinyu, Shi, Yuting, Xu, Lingyu, Liao, Ming, Jia, Weixin
Publikováno v:
In Virologica Sinica June 2024 39(3):358-368
Autor:
Shi, Yuting, Xin, Mingyang, Xu, Pingbo, Wang, Yutao, Yang, Zhaotong, Xie, Haiming, Liu, Yulong
Publikováno v:
In Journal of Energy Storage 15 September 2024 98 Part A
Autor:
Zeng, Wenjin, Shi, Yuting, Yuan, Chaochao, Li, Enzhi, Li, Jiahao, Niu, Qiaoli, Xia, Ruidong, Min, Yong, Peng, Xinwen
Publikováno v:
In Thin Solid Films 15 March 2024 792
Publikováno v:
In European Journal of Radiology January 2024 170
Autor:
Sun, Hao, Liu, Zhenhua, Xin, Mingyang, Shi, Yuting, Wang, Yutao, Ma, Shunchao, Yang, Xiaofei, Xie, Haiming, Liu, Yulong
Publikováno v:
In Journal of Colloid And Interface Science January 2024 653 Part A:908-916
Autor:
Feng, Ruimin, Zhao, Jiayi, Wang, He, Yang, Baofeng, Feng, Jie, Shi, Yuting, Zhang, Ming, Liu, Chunlei, Zhang, Yuyao, Zhuang, Jie, Wei, Hongjiang
Quantitative susceptibility mapping (QSM) has demonstrated great potential in quantifying tissue susceptibility in various brain diseases. However, the intrinsic ill-posed inverse problem relating the tissue phase to the underlying susceptibility dis
Externí odkaz:
http://arxiv.org/abs/2101.08413
Autor:
Karamad, Mohammadreza, Magar, Rishikesh, Shi, Yuting, Siahrostami, Samira, Gates, Ian D., Farimani, Amir Barati
Publikováno v:
Phys. Rev. Materials 4, 093801 (2020)
Material representations that are compatible with machine learning models play a key role in developing models that exhibit high accuracy for property prediction. Atomic orbital interactions are one of the important factors that govern the properties
Externí odkaz:
http://arxiv.org/abs/2008.06415