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93篇 您的检索式:作者名="Sreejith"
    题名 作者 年代 出处 被引量
1A topologically substituted boron nitride hybrid aerogel for highly selective CO2 uptake显示文摘A topologically mediated synthesis of porous boron nitride aerogel has been experimentally and theoretically investigated for carbon dioxide (CO2)uptake. Replacement of the carbon atoms in a precursor aerogel of graphene oxide and carbon nanotubes was achieved using an elemental substitution reaction,to obtain a boron and nitrogen framework.The newly prepared BN aerogel possessed a specific surface area of 716.56m^2/g and exhibited an unprecedented twenty- fold increase in CO2uptake over N2,adsorbing 100cc/g at 273K and 80cc/g in ambient conditions,as verified by adsorption isotherms via the multipoint Brunauer-Emmett-Teller (BET)method.Density functional theory calculations were performed to give hints on the mechanism of such high selectivity of CO2 over N2adsorption in BN aerogel,which may be due to the interaction between the intrinsic polar nature of B-N bonds and the high quadrupole moment of CO2 over N2.R.Govindan Kutty Sivaramapanicker Sreejith Xianghua Kong Haiyong He Hong Wang Junhao Lin Kazu Suenaga Chwee Teck Lim Yanli Zhao Wei Ji Zheng Liu 2018Nano Research2018,11,12:5
2碱当量与模数对碱矿渣混凝土抗压强度的影响显示文摘采用英国北爱尔兰地区高炉矿渣、水玻璃等原材料制备碱矿渣混凝土,研究水玻璃碱当量和模数对碱矿渣混凝土性能的影响。结果表明:碱矿渣混凝土的坍落度随碱当量增加而增大。碱当量较小时(4%和6%),水玻璃模数对碱矿渣混凝土坍落度影响不明显;但当碱当量增大至8%时,碱矿渣混凝土坍落度明显随模数增加而增大。以3 d抗压强度为指标,水玻璃碱当量不应低于6%,最佳模数为1.0左右;以28 d及以后抗压强度为指标,最佳碱当量及模数则分别为6%和1.5左右。碱矿渣混凝土抗压强度随养护龄期的延长呈对数增长,28 d抗压强度均达到91 d抗压强度的75%以上,28 d后抗压强度发展缓慢。马倩敏 杨进波 朱修昆 Sreejith V Nanukuttan 黄丽萍 2019新型建筑材料2019,46,3:5
3Machining of 6061 aluminum alloy with MQL, dry and flooded lubricant conditions 显示文摘Sreejith P S 2008Materials Letters2008,62,:1
4Finite Ele- ment Analysis of Fluid-structure Interaction in Pipeline Systems 显示文摘SREEJITH B JAYARAJ K GANESAN N 2004Nuclear Engineering and Design2004,227,:1
5Dry machining:machining of the fu- ture显示文摘Sreejith P S Ngoi B K A 2000Journal of Materials Processing Technology2000,101,:1
6A near-infrared squaraine dye as a latent ratiometric fluorophore for the detection of aminothiol content in blood plasma显示文摘Sreejith S Divya K P Ajayaghosh A 0,,41:1
7Giant aggressive mesenteric fibromatosis- a case report 显示文摘Anandaravi BN Jagadish Knmar CD Sreejith PS 2015J Clin Diagn Res2015,9,2:1
8Recent Advances in Machining of Silicon Wafers for Semiconductor Applications显示文摘Sreejith S Udupa G Noor Y B M 2001The International Journal of Advanced Manufacturing Technology2001,17,3:1
9Dry machining: Machining of the future显示文摘P.S Sreejith B.K.A Ngoi 2000Journal of Materials Processing Tech2000,,1:1
10Direct numerical simulation of 2D transonic flows around airfoils显示文摘Sengupta T K Bhole A Sreejith N A 2013Corn puters & Fluids2013,88,:1
11Octanol-Triggered Self-Assemblies of the CTAB/KBr System:A Microstructural Study显示文摘Lisa Sreejith Sudheesh Parathakkat Sreejith Muraleedharan Nair Sanjeev Kumar Gunjan Varma Puthusseril A.Hassan Yeshayahu Talmon 0,,:1
12Machining of 6061 aluminum alloy with MQL dry and flooded lubricant conditions 显示文摘Sreejith P S 2008Materials Letters2008,62,:1
13Evaluation of PCD tool performance during machining of carbon/phenolic ablative composites显示文摘P.S Sreejith R Krishnamurthy S.K Malhotra K Narayanasamy 2000Journal of Materials Processing Tech2000,,1:1
14Dry machining: machining of the future显示文摘Sreejith P S Ngoi B K A 2000Journal of Materials of Processing Technology2000,101,1:1
15Finite element analysis of fluid-structure interaction in pipeline systems 显示文摘Sreejith B Jayaraj K Ganesan N 2004Nuclecar Engirteering and Desigrt2004,227,3:1
16Effect of specific cutting pressure and temperature during machining of carbon/ phenolic ablative composite using PCBN tools 显示文摘Sreejith P S Krishnamurthy R Malhotra S K 2007Journal of Materials Processing Technology2007,8895,:1
17Finite element analysis of fluid-structure interaction in pipeline systems 显示文摘Sreejith B jayaraj K Ganesan N 2004Nuclear Engineering and Design2004,227,3:1
18Finite element analysis of fluid-structure interaction in pipeline systems 显示文摘SREEJITH B JAYARA K GANESAN N 2004Nuclear Engineering and Design2004,227,:1
19Automated Diagnosis of Rolling Element Bearing Defects Using Time domain Features and Neural Networks显示文摘Srividya A Verma A K Sreejith B 2009Internation- al Journal of Mining Reclamation and Environment2009,23,3:1
20Automated diagnosis of rolling element bearing defects using time-domain features and neural networks显示文摘Srividya A Verma A K Sreejith B 2009International Journal of Mining Reclamation and Environment2009,23,3:1
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