Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Jingwu Chen"'
Publikováno v:
Materials Research Letters, Vol 6, Iss 4, Pp 255-260 (2018)
Nd–Fe–B sintered magnets with a giant intrinsic coercivity of 47.1 kOe and a high maximum energy product of 38.5 MGOe have been prepared via a combination of conventional sintering techniques and novel grain boundary diffusion process. Microstruc
Externí odkaz:
https://doaj.org/article/6414e94948124dbcbdf5661c487a3859
Publikováno v:
Journal of Rare Earths. 40:1899-1904
To improve the coercivity and temperature stability of Nd-Fe-B sintered magnets for high-temperature applications, the eutectic Tb80Fe20 (wt%) alloy powders were intergranular added into the Nd-Fe-B sintered magnets to enhance the coercivity (Hcj) an
Autor:
Qingmei Lu, Ming Yue, Cong Liying, Haowen Tian, Youhao Liu, Weiqiang Liu, Yunqiao Wang, Xiaofei Yi, Xu Haibo, Jingwu Chen
Publikováno v:
Journal of Rare Earths. 40:1905-1912
The structural and magnetic properties were studied for recycling Nb-Fe-B powders from Nb-Fe-B sintered magnets sludge via reduction diffusion (RD) with calcium hydride (CaH2) particles. For comparison, traditional reducing agent calcium granules wer
Publikováno v:
Journal of Superconductivity and Novel Magnetism. 35:547-553
Publikováno v:
Journal of Superconductivity and Novel Magnetism. 34:3291-3296
The influence of Tb80Fe20/Al co-adding on coercivity and temperature stability of sintered Nd–Fe–B magnets was studied. Compared with the Tb80Fe20 added samples, the coercivity of the Tb80Fe20/Al co-added samples enhances with the increase of Al
Autor:
Qingmei Lu, Yanzhao Shao, Yantao Yin, Hao Chen, Haibo Xu, Weiqiang Liu, Min Liu, Changchuan Zhong, Xi Yu, Jingwu Chen, Youhao Liu, XiaoFei Yi, Ming Yue
Publikováno v:
Sustainable Materials and Technologies. 36:e00615
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 33:2903-2913
In article recommendation, the amount of time user spends on viewing articles, dwell time, is an important metric to measure the post-click engagement of user on content and has been widely used as a proxy to user satisfaction, complementing the clic
Autor:
Yongchun Zhu, Qing He, Jingwu Chen, Jiang Bian, Fuzhen Zhuang, Jindong Wang, Guolin Ke, Hui Xiong
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 32:1713-1722
For a target task where labeled data is unavailable, domain adaptation can transfer a learner from a different source domain. Previous deep domain adaptation methods mainly learn a global domain shift, i.e., align the global source and target distrib
Autor:
Manting Liu, Wensou Huang, Yongjian Guo, Yubo Zhou, Cheng Zhi, Jingwu Chen, Junping Li, Jinping He, Hui Lian, Jingwen Zhou, Xiaodie Ye, Yuling Hu, Hong Hu, Zhaoyuan Liu, Jingjun Huang, Liteng Lin, Mingyue Cai, Xiaobin Wang, Jingzhen Huang, Zhenfeng Zhang, Kangshun Zhu, Qi Zhao, Bihui Cao
Publikováno v:
Journal of leukocyte biologyREFERENCES. 112(4)
Small cell lung cancer (SCLC) is characterized by a high relapse rate, drug tolerance, and limited treatment choices. Chimeric antigen receptor (CAR)-modified NK cells represent a promising immunotherapeutic modality for cancer treatment. However, th
In image classification, it is often expensive and time-consuming to acquire sufficient labels. To solve this problem, domain adaptation often provides an attractive option given a large amount of labeled data from a similar nature but different doma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::905432f4eae7e1f72907e96987e4b61f
http://arxiv.org/abs/2201.01002
http://arxiv.org/abs/2201.01002