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Fig. 2: Volume of SFC mortar with 50% inclusions rate (Standardized sand size distribution) The created volume of mortar is then meshed and finite element simulations with mixed boundary conditions -applying a temperature gradient- were performed on the 3D structures of mortar.
Taylor, Cement Chemistry, Thomas Telford, London, (1997)
Barnes, Structure and Performance of cements, applied Science Publishers, London and New York, (1983)
Dridi, Analysis of effective diffusivity of cement based materials by multi-scale modelling, Journal of Materials and Structures 46:313-326 (2013) [12] D.P.
Vanysek, CRC Handbook of Chemistry and Physics . 81st edition Revision of tables of Diffusion Coefficients and ionic conductivities.

Dyeing Properties of Acetylated Wood with Red Disperse Dyes Ying Zhao1, Xiaoyan Tan2, Xiaoqiao Wan3, Wei Liu, and Zehua Yu The Institute of Applied Chemistry, Central South University of Forestry & Technology, Changsha,410004,P.R.China 1zhaoying42@sohu.com, 2tanxy0011@sina.com, 3894552574@qq.com Keywords: Acetylated Wood, Wood dyeing, Percentage of dye exhaustion, Color difference, Color fastness to washing.
Microscope images of fir, acetylated fir and dyed acetylated fir powder Microscope images reveal that unmodified fir powder has no obvious network structure.
After acetylation, the network structure is still obvious and dyeing has no damage to wood microstructure, and disperse red 153 is penetrated into the microporous of acetylated fir powder.
It is due to the difficult penetration of dyes into the microporous structure of acetylated poplar spill in comparison of acetylated fir powder.
Rowell : Journal of Wood Chemistry and Technology,Vol. 6 (1986), p.427 [7] Mohamed.J and Gilles.

The accuracy of the simulation turntable is primarily affected by the geometric errors caused by mechanical-geometric imperfections, misalignments, wear and tear of the linkages and elements of the system structure, by the non-uniform thermal expansion of the simulation turntable structure and load induced errors [1].
Finally, based on the homogeneous transformation matrix and topologic structure of multi-body, error model of simulation turntable can be obtained.
Jónsson, in: Theoretical Methods in Condencsed Phase Chemistry, edited by S.D.
Schwartz, volume 5 of Progress in Theoretical Chemistry and Physics, chapter, 10, Kluwer Academic Publishers (2000)

Holding time affects the uniformity of silver film structure through directly affecting the sintering reaction of silver paste.
The structure of the silver film was compact, and the voidage was small.
Silver powders were effectively infiltrated and spreaded on the substrate, and the silver particles contacted closely, so the silver film had a compact structure and a good electric conductivity after sintering.
Materials Chemistry and Physics. 82 (2003) 237–245
Materials Chemistry and Physics. 96 (2006) 145-153

Detailed studies on the vulcanization and chemical structures of the compounds created within the framework of this research were reported in our earlier papers [6, 9-12].
This can be explained from one side by the difference in the load – higher load gives lower values (250mN for Vickers and 100mN for sphero-conical) and on the other, the geometry of sphero-conical indenter is more suitable for soft materials as rubber and more sensitive to the change in the structure under deformation.
This is probably due to better structure obtained under lower temperature.
De, High temperature vulcanization of elastomers, Rubber Chemistry and Technology 52 (1979) 725-734 [2] M.L.
Beatty, The oxidative hardening of SBR, Rubber Chemistry and Technology 45 (1972) 450-466 [3] E.

Numbers of strategies were significant to decrease the atmospheric CO2 concentration, such as methane reforming [7, 8], Fischer-Tropsch synthesis [9], but CO2 is difficult to transport owing to its eight stably electronic structure.
The isotherms of all catalysts were H3 hysteresis loop (P/Po<0.4) characterizing an uneven and slit-shaped mesoporous structure.
The combination of TPR and XRD indicated that La species caused an important effect on the structure of catalysts.
Li, Methanation of carbon dioxide on Ni/ZrO2-Al2O3 catalysts：Effects of ZrO2 promoter and preparation method of novel ZrO2-A12O3 cartier，Journal of Natural Gas Chemistry. 20 ( 2011 ) 318–324 [2] N.S.
Song, Methanation of carbon dioxide over mesoporous Ni–Fe–Al2O3 catalysts prepared by a coprecipitation method: Effect of precipitation agent, Journal of Industrial and Engineering Chemistry. 19 (2013) 2016–2021 [12] G.J.

The crystalline structure of SF is mostly changed into Silk Ⅰ and there was almost no Silk Ⅱ structure.
Structure analysis.
Results and Discussions Structure.
On the other hand, the addition of sugar also induced silk fibroin from random coil structure to silkⅠcrystal structure.
Shao, Conformation Studies of Silk Proteins with Infrared and Raman Spectroscopy, Progress in Chemistry.18 (11) (2006) 1514-1522

The FESEM images illustrate that HAP crystal morphology changed to flower-like hierarchical structures and grass blanket-like hierarchical structures when increasing the hydrothermal time to 1 h and 24 h.
Up to now, there are many studies about various morphologies of HAP crystals with particular structures, such as porous hollow microspheres [6], flower-like structures [7], well-ordered HAP structure [8] and so on.
L-3,4-dihydroxyphenylalanine (L-DOPA, Mw=197.19) was purchased from Aladdin Chemistry Co.
Faveolate-like structure were formed through coalescence of amorphous sheets.
Baeuerlein, ed., The structure of teeth: human enamel crystal structure.

Lasers in the Analysis of Cultural Heritage Materials Demetrios Anglos1,2,a, Savas Georgiou 1,b and Costas Fotakis 1,3,c 1 Institute of Electronic Structure and Laser, Foundation for Research and Technology-Hellas (IESL-FORTH), P.O.
As an indicative example of the detailed information obtained through Raman spectra we mention in-situ studies of glazes that provide information on the glass composition and structure
By affording excellent contrast in the detection of interfaces, THG may enable a powerful technique for examining the interior structure of artworks.
Spoto: Modern analytical methods in art and archaeology, Chemical Analysis, A series of monographs on analytical chemistry and its applications.
Chalmers, Eds: Raman Spectroscopy in Archaeology and Art History, The Royal Society of Chemistry (2005). 17.

Preface The artificial neural networks (Artificial Neural Net-work, ANN) is one kind of imitation biology brain structure and the function information management system which 1980s develop, is one of popular research topics which the recent years on international raised.It has from the organization, from the study and auto-adapted, fast processing, highly fault-tolerant, the association memory as well as may approach willfully the complex nonlinear system and so on the unique merit.Because has the above merit, the artificial neural networks in the signal processing, the pattern recognition, the target tracking, the robot control, the expert system, the combination optimized, the network management and so on in the multitudinous domain application have obtained the noticeable achievement.
The artificial neural networks are a highly integrated interdisciplinary studies., already in disciplines and so on biology, micro electron, mathematics, physics, chemistry chemical industry and material obtains the widespread application.In material science and engineering domain, the artificial neural networks have played the huge role in processing materials science many questions, has used in the material design and the ingredient generally optimizes, the material intelligent processing and the control, the material processing craft optimization, the material changes the rule aspects and so on research and phase tranformation point forecast, material performance and flaw forecast, involves the high polymer, the metal, the alloy and inorganic nonmetallic and so on many kinds of materials, and has obtained the good effect .[1] 1.
Artificial neural networks in materials science application 1.1 Material design application The artificial neural networks have the very major function in the material design, now has established the material design artificial neural networks model, mainly is establishes between the material structure and the performance relations, also may establish between the craft and the performance relations.Mainly has following several aspect application: (1) forecast ingredient content; (2) forecast mechanics performance, used the artificial neural networks the method to forecast the steel in recent years mechanics performance; (3) forecast controlled variable [2]; (4) changes the rule to forecast that, including steel isothermal transformation curve (TTT), cools transition curve (CCT), Ms continuously and the hardened curve forecast; [3] (5) material examination, drafts the method surely including the supersonic lossless examination flaw, carries on the brittle material
critical break the sound launch forecast, the optical fiber intelligence compound materials from the diagnosis system, the structure damage recognition, the fatigue of materials forecast.The artificial neural networks also use for to study the steel the calorific intensity, the fatigue cracking expansion speed, fatigue cracking expansion threshold value [4] as well as the weary short crack expansion
[12]Yangfanwen,Zhaoyueming, The artificial neural networks use in the high polymer material the performance prediction and the optimized design research progress, Computer and applied chemistry, 2001,Vol.18,No.2,131~134