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		题名	作者	年代	出处	被引量
	1	Large lattice mismatch induced perpendicular magnetic anisotropy and perpendicular exchange bias in CoPt/FeMn bilayer films显示文摘Perpendicular magnetic anisotropy and perpendicular exchange bias of CoPt/FeMn bilayers fabricated by dc magnetron sputtering were investigated in this work.Magnetic anisotropy,showing strong dependence on thickness of CoPt layer,changes from perpendicular magnetic anisotropy(PMA) into in-plane magnetic anisotropy when CoPt layer is thicker than 4.5 nm.The evolution of internal stress with thickness,from tensile to compressive,has been analyzed by sin^2 ψ method using an equal biaxial stress model.Distinctive perpendicular exchange bias(PEB) has been successfully established due to PMA of CoPt and out-ofplane spin component of 3 Q-spin-structured FeMn.FeMn thickness dependence of exchange bias field has been systematically investigated.	PAN ChunJiao GAO TengHua ITOGAWA Nobuhide HARUMOTO Takashi ZHANG ZhengJun NAKAMURA Yoshio SHI Ji	2019	Science China(Technological Sciences)2019，62，11：	2
	2	GPER mediates enhanced cell viability and motility via non-genomic signaling induced by 17β-estradiol in triple-negative breast cancer cells显示文摘	Tenghua Yu Manran Liu Haojun Luo Chengyi Wu Xi Tang Shifu Tang Ping Hu Yuzhao Yan Zhiliang Wang Gang Tu	2014	Journal of Steroid Biochemistry and Molecular Biology2014，，：	1
	3	A 3D attention U-Net network and its application in geological model parameterization显示文摘To solve the problems of convolutional neural network–principal component analysis(CNN-PCA)in fine description and generalization of complex reservoir geological features,a 3D attention U-Net network was proposed not using a trained C3D video motion analysis model to extract the style of a 3D model,and applied to complement the details of geologic model lost in the dimension reduction of PCA method in this study.The 3D attention U-Net network was applied to a complex river channel sandstone reservoir to test its effects.The results show that compared with CNN-PCA method,the 3D attention U-Net network could better complement the details of geological model lost in the PCA dimension reduction,better reflect the fluid flow features in the original geologic model,and improve history matching results.	LI Xiaobo LI Xin YAN Lin ZHOU Tenghua LI Shunming WANG Jiqiang LI Xinhao	2023	Petroleum Exploration and Development2023，50，1：	0

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