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2篇 您的检索式：作者名="Han Longnian"

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		题名	作者	年代	出处	被引量
	1	Application of Discrete Lumped Kinetic Modeling on Vacuum Gas Oil Hydrocracking显示文摘The kinetic model of vacuum gas oil (VGO) hydrocracking based on discrete lumped approach was investigated, and some improvement was put forward at the same time in this article. A parallel reaction scheme to describe the conversion of VGO into products (gases, gasoline, and diesel) proposed by Orochko was used. The different experimental data were analyzed statistically and then the product distribution and kinetic parameters were simulated by available data. Furthermore, the kinetic parameters were correlated based on the feed property, reaction temperature, and catalyst activity. An optimization code in Matlab 2011b was written to fine-tune these parameters. The model had a favorable ability to predict the product distribution and there was a good agreement between the model predictions and experiment data. Hence, the kinetic parameters indeed had something to do with feed properties, reaction temperature and catalyst activity.	Han Longnian Fang Xiangchen Peng Chong Zhao Tao	2013	China Petroleum Processing & Petrochemical Technology2013，15，2：	8
	2	Distributed implantation of a flexible microelectrode array for neural recording显示文摘Flexible multichannel electrode arrays(fMEAs)with multiple flaments can be flexibly implanted in various patterns.It is necessary to develop a method for implanting the fMEA in different locations and at various depths based on the recording demands.This study proposed a strategy for reducing the microelectrode volume with integrated packaging.An implantation system was developed specifically for semiautomatic distributed implantation.The feasibility and convenience of the fMEA and implantation platform were verified in rodents.The acute and chronic recording results provied the effectiveness of the packaging and implantation methods.These methods could provide a novel strategy for developing fMEAs with more flaments and recording sites to measure functional interactions across multiple brain regions.	Chunrong Wei Yang Wang Weihua Pei Xinyong Han Longnian Lin Zhiduo Liu Gege Ming Ruru Chen Pingping Wu Xiaowei Yang Li Zheng Yijun Wang	2022	Microsystems & Nanoengineering2022，8，3：	1

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