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| 1 | Synthesis of highly fluorescent and water soluble perylene bisimide显示文摘设计并且综合一新高度浇可溶的 N, N 二度(2-((5-((dimethylamino ) 甲基) furan-2-yl ) methylthio ) 乙醇) 从 2- 的 perylene-3,4,9,10-tetracarboxylic diimide ((5-((dimethylamino ) 甲基) furan-2-yl ) methylthio ) ethanamine 和 perylene-3,4,9,10-tetracarboxylic dianhydride。混合物被 1H, 13C, 2D NMR,团和红外技术描绘。混合物与水和另外的极的溶剂里的好溶解度是高度荧光灯的。 | Gopal Boobalan Predhanekar Mohamed Imran Samuthira Nagarajan | 2012 | Chinese Chemical Letters2012，23，2： | 3 |
| 2 | Vanillic acid prevents the deregulation of lipid metabolism, endothelin 1 and up regulation of endothelial nitric oxide synthase in nitric oxide deficient hypertensive rats显示文摘 | Subramanian Kumar Pichavaram Prahalathan Murugesan Saravanakumar Boobalan Raja | 2014 | European Journal of Pharmacology2014，，： | 1 |
| 3 | Preparation and characterization of nanocrystalline zirconia powders by the glowing combustion显示文摘 | BOOBALAN K VIJAYARAGHAVAN R CHIDAMBARAM K | 2010 | J Am Ceram Soc2010，93，11： | 1 |
| 4 | Preparation and Characterization of Nanocrystalline Combustion 显示文摘 | Boobalan K Vijayaraghavan R Chidambaram K | 2010 | Journal of the American Ceramic Society2010，93，11： | 1 |
| 5 | Fabrication of highly fluorescent perylene bisimide nanofibers through interfacial self-as- sembly 显示文摘 | Boobalan G Imran P K M Manoharan C | 2013 | J Colloid Interface Sci2013，393，： | 1 |
| 6 | Diosmin, a bioflavonoid reverses alterations in blood pressure, nitric oxide, lipid peroxides and antioxidant status in DOCA-salt induced hypertensive rats显示文摘 | Thangarasu S Boobalan R | 2012 | Eur J Pharmacol2012，679，13： | 1 |
| 7 | Preparation and characterization of nanocrystalline zirconia powders by the glowing combustion显示文摘 | Boobalan K Vijayaraghavan R Chidambaram K | 2010 | J Am Ceram Soc2010，93，11： | 1 |
| 8 | Modeling of thermal conductivity and density of alumina/silica in water hybrid nanocolloid by the application of Artificial Neural Networks显示文摘In this research work, the thermal conductivity and density of alumina/silica(Al_2O_3/SiO_2) in water hybrid nanofluids at different temperatures and volume concentrations have been modeled using the artificial neural networks(ANN). The nanocolloid involved in the study was synthesized by the two-step method and characterized by XRD, TEM, SEM–EDX and zeta potential analysis. The properties of the synthesized nanofluid were measured at various volume concentrations(0.05%, 0.1% and 0.2%) and temperatures(20 to 60 °C). Established on the observational data and ANN, the optimum neural structure was suggested for predicting the thermal conductivity and density of the hybrid nanofluid as a function of temperature and solid volume concentrations. The results indicate that a neural network with 2 hidden layers and 10 neurons have the lowest error and a highest fitting coefficient o thermal conductivity, whereas in the case of density, the structure with 1 hidden layer consisting of 4 neurons proved to be the optimal structure. | Sathishkumar Kannaiyan Chitra Boobalan Fedal Castro Nagarajan Srinivas Sivaraman | 2019 | Chinese Journal of Chemical Engineering2019，27，3： | 0 |
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