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Online since: February 2011
Authors: Hong Bo Tan, Bao Guo Ma, Kai Ke, Jun Xiao
So the structure of formation is changed.
From fig. b, the CH, which is hexagonal flake, is well crystallized, and the structure of cement paste is close-grained.
Torresan and N.Zeminian,2003,”Effect of alkaline sulfate on the performance of superplasticizers”, Proceedings of the 11th International Congress on the Chemistry of Cement: Cement’s contribution to development in the 21st Century.
Effects of the chemical structure on the properties of polycarboxylate-type superplasticizer .Cement and Concrete Research. 2000, 30(2) :197-208 [11] Moukwa M, Youn D, Hassanali M.
From fig. b, the CH, which is hexagonal flake, is well crystallized, and the structure of cement paste is close-grained.
Torresan and N.Zeminian,2003,”Effect of alkaline sulfate on the performance of superplasticizers”, Proceedings of the 11th International Congress on the Chemistry of Cement: Cement’s contribution to development in the 21st Century.
Effects of the chemical structure on the properties of polycarboxylate-type superplasticizer .Cement and Concrete Research. 2000, 30(2) :197-208 [11] Moukwa M, Youn D, Hassanali M.
Online since: May 2011
Authors: Wen Chen, Ying Dai, Zhan Jun Yu
Synthesis and characterization of Ni(OH)2/multiwalled carbon nanotubes nanocomposites for electrochemical capacitors
Zhanjun Yu1,a, Ying Dai2,3,b, Wen Chen2,3,c
1College of Chemistry and Chemical Engineering, Fuyang Teachers College, Anhui, Fuyang 236041, China
2Institute of Materials Science and Engineering, Wuhan University of Technology, Hubei, Wuhan 430070, China
3State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, Hubei, Wuhan 430070, China
aemail: yuzhanjun224@163.com bemail: yingdai@whut.edu.cn cemail: chenw@whut.edu.cn
Keywords: Ni(OH)2; Carbon nanotube; Specific capacitance; Electrochemical capacitor
Abstract.
The porous structure can be observed between the flakes.
The dimension of the porous structure in Ni(OH)2 was larger than diameter of MWNTs, so probably MWNTs can penetrate the porous structure.
The porous structure can be observed between the flakes.
The dimension of the porous structure in Ni(OH)2 was larger than diameter of MWNTs, so probably MWNTs can penetrate the porous structure.
Online since: March 2014
Authors: Dylan J. Nagle, Steve C. Galea, Scott D. Moss, Genevieve A. Hart
Baker, Development of structural health monitoring systems for composite bonded repairs on aircraft structures, Proc.
Due to a magnetic restoring force, Fy, between the sphere and the centre magnet and wear-pad, vibration of the host structure (‘host vibration’) will result in oscillation of the sphere.
Haynes (Ed.), CRC Handbook of Chemistry and Physics 93rd Edition, CRC Press, 2012. ].
This grade of WC also has a fine grain structure, and contains a 6% cobalt binder making the wear-pad slightly ferromagnetic.
Due to a magnetic restoring force, Fy, between the sphere and the centre magnet and wear-pad, vibration of the host structure (‘host vibration’) will result in oscillation of the sphere.
Haynes (Ed.), CRC Handbook of Chemistry and Physics 93rd Edition, CRC Press, 2012. ].
This grade of WC also has a fine grain structure, and contains a 6% cobalt binder making the wear-pad slightly ferromagnetic.
Online since: October 2014
Authors: Ning Bo Huo, Zhi Gang Liu
Among them, dibenzothiophene is often chosen as dibenzothiophene mimics for its typical structure [3-5].
Table 1 Analysis of GC before and after oxidation GC-FID chromatogram before oxidation GC-FID chromatogram after oxidation Retention time /min Substances confirmed Retention time /min Substances confirmed 3.577, 3.914 Decahydronaphthalene different structure 3.583, 3.914 Decahydronaphthalene different structure 10.194 Hexadecane 10.160 Hexadecane 12.501 DBT 16.429 DBT sulfone Fig.1 GC chromatogram of material before oxidation Fig.2 GC chromatogram of material after oxidation (3) IR spectrum IR spectra of DBT and its oxidation before and after reaction is shown in Figure 3 and Figure 4,respectively.
Journal of Fuel Chemistry and Technology [J], 2009, 37(2): 194-198
Table 1 Analysis of GC before and after oxidation GC-FID chromatogram before oxidation GC-FID chromatogram after oxidation Retention time /min Substances confirmed Retention time /min Substances confirmed 3.577, 3.914 Decahydronaphthalene different structure 3.583, 3.914 Decahydronaphthalene different structure 10.194 Hexadecane 10.160 Hexadecane 12.501 DBT 16.429 DBT sulfone Fig.1 GC chromatogram of material before oxidation Fig.2 GC chromatogram of material after oxidation (3) IR spectrum IR spectra of DBT and its oxidation before and after reaction is shown in Figure 3 and Figure 4,respectively.
Journal of Fuel Chemistry and Technology [J], 2009, 37(2): 194-198
Online since: December 2012
Authors: Jin Liang Zhang, Ming Ming Tang
Raman spectroscopy has been applied extensively as structure and diction probe and is one of the important methods to deeply study.
Raman spectroscopy yields detailed information about molecular vibrations, and Raman spectroscopy is useful not only in identifying molecules but also shedding light on molecular structures[3-4].
Some structure assignments were discussed in the observed spectra.
Journal of analytical chemistry 3 (2007)416-418 [7] Ferraro, J.
Raman spectroscopy yields detailed information about molecular vibrations, and Raman spectroscopy is useful not only in identifying molecules but also shedding light on molecular structures[3-4].
Some structure assignments were discussed in the observed spectra.
Journal of analytical chemistry 3 (2007)416-418 [7] Ferraro, J.
Online since: March 2005
Authors: N.I. Sorokin, Viera Trnovcová, D. Ležal, P.P. Fedorov, R.M. Zakalyukin, Emília Illeková, Andrej Škubla, M. Kadlečíková
The same form of all spectra indicates that the ZrF4 glassforming structure is not significantly
influenced by changes of the composition.
As this structure determines the ionic conductivity, the results of the Raman spectroscopy explain the similar ionic conductivity in our glasses.
The same form of Raman spectra for all our ZrF4-based glasses indicates that the ZrF4 glassforming structure is not significantly influenced by changes of the composition.
Almeida, Fluoride glasses, in Handbook on the physics and chemistry of rare earths, Vol. 3, ed.
As this structure determines the ionic conductivity, the results of the Raman spectroscopy explain the similar ionic conductivity in our glasses.
The same form of Raman spectra for all our ZrF4-based glasses indicates that the ZrF4 glassforming structure is not significantly influenced by changes of the composition.
Almeida, Fluoride glasses, in Handbook on the physics and chemistry of rare earths, Vol. 3, ed.
Online since: October 2025
Authors: Zaur Jabua, Akaki Gigineishvili, Erekle Bagration-Davitashvili
Among them, a metal selenide of the composition Er2Se3 with the Th3P4-type structure is of special interest as possible high-temperature thermoelectric and optoelectronic material [1,2].
As can be seen, the undoped film prepared with vacuum-assisted thermal evaporation has a polycrystalline structure.
All films have a cubic structure of Th3P4 type with a lattice constant of a = 8.52 Å and stoichiometric composition with uniform Er and Se distributions both on the surface and the inner part of the films.
Synthesis and Crystal Chemistry, Nauka, Moscow, 1975. – in Russian [4] Z.U.
As can be seen, the undoped film prepared with vacuum-assisted thermal evaporation has a polycrystalline structure.
All films have a cubic structure of Th3P4 type with a lattice constant of a = 8.52 Å and stoichiometric composition with uniform Er and Se distributions both on the surface and the inner part of the films.
Synthesis and Crystal Chemistry, Nauka, Moscow, 1975. – in Russian [4] Z.U.
Online since: November 2012
Authors: Csaba Balázsi, Peter Kun, Orsolya Tapasztó, János Szépvölgyi, Katalin Balázsi, Zoltán Károly
Structural and mechanical properties of milled Si3N4/cnts composites by spark plasma sintering method
Csaba Balázsi1,a , Orsolya Tapasztó1,b, Zoltán Károly2,c, Péter Kun1,d,
Katalin Balázsi1,e, János Szépvölgyi2,f
1 Institute for Technical Physics and Materials Science, Research Centre for Natural Sciences, Hungarian Academy of Sciences, 1121 Budapest, Konkoly-Thege út 29-33, Hungary
2Institute of Materials and Environmental Chemistry, Research Centre for Natural Sciences, Hungarian Academy of Sciences, H-1025 Budapest Pusztaszeri ut 59-67.
The CNTs are preserved in structure, however agglomerations can be seen.
Herrmann, Silicon nitride ceramics, structure and bonding, 102 (2002) Berlin, Heidelberg: Springer-Verlag; 47–167
Hui, Effectiveness of using carbon nanotubes as nanoreinforcements for advanced composite structures, Carbon 40 (2002)1597–617
The CNTs are preserved in structure, however agglomerations can be seen.
Herrmann, Silicon nitride ceramics, structure and bonding, 102 (2002) Berlin, Heidelberg: Springer-Verlag; 47–167
Hui, Effectiveness of using carbon nanotubes as nanoreinforcements for advanced composite structures, Carbon 40 (2002)1597–617
Online since: February 2011
Authors: Xi Fang Sun, Chun Li, Zhan Sheng Wu
Effects of Bentonite Clarificants on Organic Acids Contents in Red Wine during Clarification
Zhansheng WU 1,2,a, Xifang SUN2,b and Chun LI1,c
1 School of Life Science, Beijing Institute of Technology, Beijing 100081, China
2 School of Chemistry and Chemical Engineering, Shihezi University, Shihezi 832003, China
a wuzhans@126.com, b sxf-w@126.com, c lichun@bit.edu.cn
Keywords: Organic Acid; Red Wine; Clarificant; Bentonite
Abstract.
Table 1 Parameter’s estimated value of multiple linear regressions of organic acids pH Titratable acidity Parameter Estimate Pr > |t| Parameter Estimate Pr > |t| Intercept 3.87717 <.0001 5.60551 <.0001 CA 0.87192 <.0001 4.47383 <.0001 TA -0.10106 0.0021 -0.55771 0.0147 MA -0.11693 0.1898 -0.17953 0.7789 SA -0.06335 0.3479 -1.57142 0.0046 LA -0.00982 0.8031 1.07269 0.0016 AA 0.02008 0.1973 -0.13303 0.2432 Table 2 Characteristics and physicochemical parameters of the bentonites tested Indexes Imp-B BP-B RYL-B PRYL-B CEC, mmol·(100g)-1 88.70 53.50 91.10 98.40 BET, SA m2·g-1 31.62 47.29 56.38 68.12 APD, Å 70.94 79.3 48.80 50.56 TPV, cc·g-1 0.0561 0.0938 0.0688 0.0861 MBT, g·(100g)-1 37.6 30.7 28.7 46.4 Now that the elimination ratio of organic acids was little interrelated with the characteristics and physicochemical parameters of the bentonites, the change of organic acids content could be due to the structure of organic acids and the surface structure of bentonites.
The change of organic acids concentration are correlated with the surface structural characteristics of bentonites as well as the structure and conformation of organic acids.
Table 1 Parameter’s estimated value of multiple linear regressions of organic acids pH Titratable acidity Parameter Estimate Pr > |t| Parameter Estimate Pr > |t| Intercept 3.87717 <.0001 5.60551 <.0001 CA 0.87192 <.0001 4.47383 <.0001 TA -0.10106 0.0021 -0.55771 0.0147 MA -0.11693 0.1898 -0.17953 0.7789 SA -0.06335 0.3479 -1.57142 0.0046 LA -0.00982 0.8031 1.07269 0.0016 AA 0.02008 0.1973 -0.13303 0.2432 Table 2 Characteristics and physicochemical parameters of the bentonites tested Indexes Imp-B BP-B RYL-B PRYL-B CEC, mmol·(100g)-1 88.70 53.50 91.10 98.40 BET, SA m2·g-1 31.62 47.29 56.38 68.12 APD, Å 70.94 79.3 48.80 50.56 TPV, cc·g-1 0.0561 0.0938 0.0688 0.0861 MBT, g·(100g)-1 37.6 30.7 28.7 46.4 Now that the elimination ratio of organic acids was little interrelated with the characteristics and physicochemical parameters of the bentonites, the change of organic acids content could be due to the structure of organic acids and the surface structure of bentonites.
The change of organic acids concentration are correlated with the surface structural characteristics of bentonites as well as the structure and conformation of organic acids.
Online since: September 2013
Authors: Jin Long Cui, Hao Li Wang, Guo Biao Shi
The basic idea of Monte Carlo is: in order to solve the mathematics, physics ,chemistry and other problems, we can establish a probabilistic model or stochastic process, making the parameter be equal to the solution of the problem; when the solution of the problem itself belongs to the random question, according to the probability algorithms in actual physical construct the Monte Carlo model, and then the statistical characteristics of the unknown parameters will be calculated through observation of the model or sampling experiment, and finally an approximation of the solution will be given[2].
We usually use three indicators to measure it: structure importance, probability importance and relative probability importance [4].
Structure importance reflects how important each of the bottom events is in the fault tree from the perspective of the fault tree structure.
We usually use three indicators to measure it: structure importance, probability importance and relative probability importance [4].
Structure importance reflects how important each of the bottom events is in the fault tree from the perspective of the fault tree structure.