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12篇 您的检索式:作者名="SUN Linjun"
    题名 作者 年代 出处 被引量
1Optimizing zeolite stabilized Pt-Zn catalysts for propane dehydrogenation显示文摘Propane dehydrogenation(PDH)provides an alternative route to non-petroleum based propylene and eligible catalysts with good overall performance are still being explored.Herein,we report the construction of zeolite stabilized Pt-Zn catalysts Pt-Zn/Si-Beta for PDH.Characterization results from transmission electron microscopy(TEM),ultraviolet-visible(UV-vis)and Fourier transform infrared(FTIR)spectroscopy reveal that highly-dispersed Zn species are stabilized by the silanols from zeolite framework dealumination,which then act as the anchoring sites for Pt species.The close contact between Pt-Zn species and the electronic interaction thereof make Pt-Zn/Si-Beta robust PDH catalysts.Under optimized conditions,a high propylene production rate of 4.11 molmol_(Pt)^(-1)s^(-1),high propylene selectivity of 98% and a sustainable deactivation rate of~0.02 h^(-1)can be simultaneously achieved at 823 K.Coke deposition is not the key reason for the catalytic deactivation,while the loss of Zn species and the resulting aggregation of Pt species under high temperatures are responsible for the irreversible deactivation of Pt-Zn/Si-Beta catalyst in PDH reaction.Linjun Xie Yuchao Chai Lanlan Sun Weili Dai Guangjun Wu Naijia Guan Landong Li 2021Journal of Energy Chemistry2021,30,6:5
2Analysis and control on anomaly water inrush in roof of fully-mechanized mining field显示文摘从水流入的矿房顶的探穴由于异常压力是能在生产期间发生在矿的主要灾难和事故之一。房顶水流入能触发大量房顶倒塌,引起从打破房顶支持的主要事故当时探穴。这些失败充满井并且做很多损坏到矿并且危及矿安全。我们的目的到在工作的 #6301 压碎支持的水流入的异例在 Yanzhou 采矿组的 Jisan 煤矿面对的分析。通过到房顶的水流入的信息,损坏由构造运动引起了,损坏的信息在矿桥墩关于压力的分发由房顶倒塌和理论引起了,我们调整工作的脸的长度和打开离开的位置的忠告相对切了到富有的水区域。在异常房顶压力的情况中,我们应该开发一个州的方程估计有鈥渢r ansferring 的预防措施摇横梁鈥 ? 理论。同时,我们在宝库改进排水设备和保证的足够的水保留的能力。这些都是主要技术对异常的水流入在房顶引起的事故保证控制和预防,因此在一个煤矿的生产过程保证安全。Peng Linjun Yang Xiaojie Sun Xiaoming 2011Mining Science and Technology2011,21,1:3
3Oxidative stress response and gene expression with atrazine exposure in adult female zebrafish ( Danio rerio )显示文摘Yuanxiang Jin Xiangxiang Zhang Linjun Shu Lifang Chen Liwei Sun Haifeng Qian Weiping Liu Zhengwei Fu 2009Chemosphere2009,,7:2
4Oxidative stress response and gene expression with atrazine exposure in adult female zebrafish ( Danio rerio )显示文摘Yuanxiang Jin Xiangxiang Zhang Linjun Shu Lifang Chen Liwei Sun Haifeng Qian Weiping Liu Zhengwei Fu 2009Chemosphere2009,,7:1
5Quantifying ecological memory during forest succession: A case study from lower subtropical forest ecosystems in South China显示文摘Zhongyu Sun Hai Ren Valentin Schaefer Hongfang Lu Jun Wang Linjun Li Nan Liu 2013Ecological Indicators2013,,:1
6Removal of fine particles from combustion by condensation scrubbing显示文摘Sun Lujuan(孙露娟) Yang Linjun(杨林军) Zhang Xia(张霞) Yan Jinpei(颜金培) Zhang Yu(张字) Shen Xianglin(沈湘林) 2008Journal of Chemical Industry and Engineering(China)(化工学报)2008,59,6:1
7Experimental study on separation of inhalable particles from coal combustion by heterogeneous condensation enlargement显示文摘Yan Jinpei(颜金培) Yang Linjun(杨林军) Zhang Xia(张霞) Sun Lujuan(孙露娟) Zhang Yu(张宇) Shen Xianglin(沈湘林) 2007Proceedings of the CSEE(中国电机工程学报)2007,27,35:1
8Controlling exciton-exciton annihilation in WSe_(2) bilayers via interlayer twist显示文摘The twist angle between two van der Waals coupled monolayers has emerged as a new and powerful degree of freedom for engineering physical properties of semiconductor homo-and hetero-bilayers.While the interlayer twist has shown prominent effect on electronic and optical properties of transition metal dichalcogenide(TMD)bilayers,it remains unclear how it could be used to manipulate the exciton dynamics,especially exciton-exciton annihilation(EEA)process which is the dominant energy loss channel in TMDs under moderate to high exciton density due to strong Coulomb interaction.Herein,we show that the twist angle in TMD bilayers can act as an effective knob to control the EEA process.Specifically,EEA rate constant increases from 1° twisted WSe_(2) bilayers(0.026 cm^(2)/s)by more than twice to 32° twisted bilayers(0.053 cm2/s)and then drops again in 60° twisted bilayers(0.019 cm^(2)/s).This twist-angle dependence can be attributed to the energy difference between indirect and direct excitons arising from the interlayer interaction.Our work opens up the possibility of artificially managing the exciton dynamics in TMD materials for optoelectronic applications via interlayer twist angle.Yuzhong Chen Bichuan Cao Cheng Sun Zedong Wang Hongzhi Zhou Linjun Wang Haiming Zhu 2022Nano Research2022,15,5:1
9Learning to represent 2D human face with mathematical model显示文摘How to represent a human face pattern?While it is presented in a continuous way in human visual system,computers often store and process it in a discrete manner with 2D arrays of pixels.The authors attempt to learn a continuous surface representation for face image with explicit function.First,an explicit model(EmFace)for human face representation is pro-posed in the form of a finite sum of mathematical terms,where each term is an analytic function element.Further,to estimate the unknown parameters of EmFace,a novel neural network,EmNet,is designed with an encoder-decoder structure and trained from massive face images,where the encoder is defined by a deep convolutional neural network and the decoder is an explicit mathematical expression of EmFace.The authors demonstrate that our EmFace represents face image more accurate than the comparison method,with an average mean square error of 0.000888,0.000936,0.000953 on LFW,IARPA Janus Benchmark-B,and IJB-C datasets.Visualisation results show that,EmFace has a higher representation performance on faces with various expressions,postures,and other factors.Furthermore,EmFace achieves reasonable performance on several face image processing tasks,including face image restoration,denoising,and transformation.Liping Zhang Weijun Li Linjun Sun Lina Yu Xin Ning Xiaoli Dong 2024CAAI Transactions on Intelligence Technology2024,9,1:0
10Hydrocarbon accumulation characteristics in basement reservoirs and exploration targets of deep basement reservoirs in onshore China显示文摘Based on the global basement reservoir database and the dissection of basement reservoirs in China,the characteristics of hydrocarbon accumulation in basement reservoirs are analyzed,and the favorable conditions for hydrocarbon accumulation in deep basement reservoirs are investigated to highlight the exploration targets.The discovered basement reservoirs worldwide are mainly buried in the Archean and Precambrian granitic and metamorphic formations with depths less than 4500 m,and the relatively large reservoirs have been found in rift,back-arc and foreland basins in tectonic active zones of the Meso-Cenozoic plates.The hydrocarbon accumulation in basement reservoirs exhibits the characteristics in three aspects.First,the porous-fractured reservoirs with low porosity and ultra-low permeability are dominant,where extensive hydrocarbon accumulation occurred during the weathering denudation and later tectonic reworking of the basin basement.High resistance to compaction allows the physical properties of these highly heterogeneous reservoirs to be independent of the buried depth.Second,the hydrocarbons were sourced from the formations outside the basement.The source-reservoir assemblages are divided into contacted source rock-basement and separated source rock-basement patterns.Third,the abnormal high pressure in the source rock and the normal–low pressure in the basement reservoirs cause a large pressure difference between the source rock and the reservoirs,which is conducive to the pumping effect of hydrocarbons in the deep basement.The deep basement prospects are mainly evaluated by the factors such as tectonic activity of basement,source-reservoir combination,development of large deep faults(especially strike-slip faults),and regional seals.The Precambrian crystalline basements at the margin of the intracontinental rifts in cratonic basins,as well as the Paleozoic folded basements and the Meso-Cenozoic fault-block basements adjacent to the hydrocarbon generation depressions,have favorable conditions for hydrocarbon accumulation,and thus they are considered as the main targets for future exploration of deep basement reservoirs.WANG Zecheng JIANG Qingchun WANG Jufeng LONG Guohui CHENG Honggang SHI Yizuo SUN Qisen JIANG Hua ABULIMITI Yiming CAO Zhenglin XU Yang LU Jiamin HUANG Linjun 2024Petroleum Exploration and Development2024,51,1:0
11Fitting objects with implicit polynomials by deep neural network显示文摘Implicit polynomials(IPs)are considered as a powerful tool for object curve fitting tasks due to their simplicity and fewer parameters.The traditional linear methods,such as 3L,Min Var,and Min Max,often achieve good performances in fitting simple objects,but usually work poorly or even fail to obtain closed curves of complex object contours.To handle the complex fitting issues,taking the advantages of deep neural networks,we designed a neural network model continuity-sparsity constrained network(CSC-Net)with encoder and decoder structure to learn the coefficients of IPs.Further,the continuity constraint is added to ensure the obtained curves are closed,and the sparseness constraint is added to reduce the spurious zero sets of the fitted curves.The experimental results show that better performances have been obtained on both simple and complex object fitting tasks.LIU Jingyi YU Lina SUN Linjun TONG Yuerong WU Min LI Weijun 2023Optoelectronics Letters2023,19,1:0
12TBNN: totally-binary neural network for image classification显示文摘Most binary networks apply full precision convolution at the first layer. Changing the first layer to the binary convolution will result in a significant loss of accuracy. In this paper, we propose a new approach to solve this problem by widening the data channel to reduce the information loss of the first convolutional input through the sign function. In addition, widening the channel increases the computation of the first convolution layer, and the problem is solved by using group convolution. The experimental results show that the accuracy of applying this paper's method to state-of-the-art(SOTA) binarization method is significantly improved, proving that this paper's method is effective and feasible.ZHANG Qingsong SUN Linjun YANG Guowei LU Baoli NING Xin LI Weijun 2023Optoelectronics Letters2023,19,2:0
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