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2篇 您的检索式：作者名="Renrui Sun"

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		题名	作者	年代	出处	被引量
	1	Exploring luminescence quenching on lanthanide-doped nanoparticles through changing the spatial distribution of sensitizer and activator显示文摘Luminescence quench is common in overdoped upconversion nanoparticles.Various methods have been proposed to counteract the adverse effects of concentration quenching on luminescence,but in upconversion nanoparticles that are highly doped with both sensitizers and activators,the factors that contribute to the diminishing of the emission cannot be summarized by a single cause.Herein,a core-shell design is used to spatially separate the sensitizer(Yb^(3+))and activator(Er^(3+))and to modulate the emission by changes in the distribution position as well as the concentration of the dopant ions in order to probe the factors affecting the luminescence.When the sensitizer ions are located in the core,the luminescence intensity of the nanoparticles is significantly weaker than that of the other distribution,which implies that the effect of sensitizer and activator on luminescence in the highly doped state has a different and more complex mechanism.The intensity of the emission is more affected by Yb^(3+)than Er^(3+),which includes not only the self-quenching of Yb^(3+),but also the dominance in the Yb^(3+)-Er^(3+)cross-relaxation.In this finding may provide new ideas for revealing the reasons for the diminished luminescence of highly doped upconversion nanoparticles and thus for enhancing luminescence.	Jiwei Li Yao Xie Renrui Sun Junxun Zhou Lining Sun	2024	Nano Research2024，17，5：	0
	2	A Simultaneous Car to on-Tex ture Image Segmentation and Image Decomposition Method显示文摘Image segmentation and image decomposition are fundamental problems in image processing.Image decomposition methods for separating images into cartoon and texture components can effec ti vely serve different image processing tasks because different components can be respectively treated in more effective way.However,image decomposition methods are currently simply taken as an independent preprocessing step,and particularly in image segmentation different effects of cartoon and texture components have not been considered.This paper presents a novel simultaneous cartoon・texture image segmentation and image decomposition method to boost the performance of both segmentation and decomposition.We design a fast alternating optimization algorithm to solve the proposed model.Experimental results demonstrate the outstanding performance of the proposed method on both image segmentation and image decomposition.	LI Yafeng ZHAO Qijun ZHANG Wenbo FAN Pan ZHANG Renrui SUN Jieqi LI Jing	2020	Chinese Journal of Electronics2020，29，5：	0

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