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The chemical products, generated in the process of coal gasification, may be marketed as raw material (i.e. coal oil, benzol, ammonia water, phenols, olefins, acetylene, pyridine bases) or processed in place into industrial hypsosulfites, surface-active materials, colouring matters, black pigment, polymers etc. a group of phenols and ammonia, being a component of the gas condensate, should be pointed out among the chemical matters.
The influence of fine particles of binding materials on the strength properties of hardening backfill.
Engineering Journal of the University of Qatar, (16), 11-18
Comparing bibliometric statistics obtained from the Web of Science and Scopus.
Journal of the American Society for Information Science and Technology, 60(7), 1320–1326. doi:10.1002/asi.21062 [37] Chadegani, A.

Rhee: Encyclopedia of Composite Materials and Components (M.
Messing, Journal of Sol-Gel Science and Technology 9, (1997) 53-64 [11] S.
Vdovic, Materials Science and Engineering B52 (1998) 145-153
Gill, Journal of Crystal Growth 140 (1994) 315-326
Warrier, International Journal of Inorganic Materials 3 (2001) 693-698

Department of materials science and engineering, Faculty of Physical Science and Technology, Yunnan University, Kunming 650091,China 2.
It concludes that the synthesized materials could satisfy the desired value.
[5] Xueju MA and Xiuhua CHEN: Journal of Rare Earths.
Deevi: Materials Science and Engineering A.Vol. 348 (2003), p.227 [7] L.
Pederson: Materials Letters.Vol. 10 (1990), p.6 [8] L.

Integrated Phase-Field and Machine Learning Study of Microstructure Evolution During Interface-Controlled Spinodal Decomposition Owais Ahmad∗†a, Rakesh Maurya†b, Rajdip Mukherjeec, Somnath Bhowmickd Department of Materials Science and Engineering, Indian Institute of Technology Kanpur, India a*owaisah@iitk.ac.in, brakeshm22@iitk.ac.in, crajdipm@iitk.ac.in, dbsomnath@iitk.ac.in Keywords: Phase-field Model, interface mobility, machine learning, autoencoder, ConvLSTM, microstructure, spinodal decomposition.
This study leverages artificial intelligence (AI) to advance materials science, focusing on microstructural evolution in binary alloys during spinodal decomposition.
The innovative use of an Autoencoder- ConvLSTM model enables precise, low-error microstructural transformation predictions, demonstrating AI’s potential in materials science research.
Materials science is no exception to this trend, with a burgeoning research focus on employing AI for accelerated discoveries.
Hilliard, “Free energy of a nonuniform system. i. interfacial free energy,” The Journal of chemical physics, vol. 28, no. 2, pp. 258–267, 1958

The external information sources contain customer needs, environment constraints, material constraints, etc.
Chinese Journal Of Mechanical Engineering, 2004, 40(4): 1~9.
Chinese Journal of Mechanical Engineering, 2004, 40 (8): 1-6.
Journal of Advanced Manufacturing Systems. 2011，10： 69–76
Journal of Wuhan University of Technology. 2004, 26(10): 83-86.

The Influences of Material and Structure on the UV Protection of Summer Fabrics Li Dai a, Yi Zhang b School of Textiles Tianjin Polytechnic University Tianjin, China adaili1020@163.com, btianjinzhangyi@126.com Keywords: Fabric structure, Fiber material, Anti-UV properties Abstract.
The measured performance parameters were normalized, to make UV protection properties of different thickness, tightness, fabric structures and fiber materials are comparable.
The anti-UV performance from strong to weak is satin, twill and plain weave in terms of fabric structure; and polyester, silk, hemp and cotton in terms of fiber material.
Ding, Research of Factors which Affect UV-protective Properties of Textiles [Papers] – Journal of Donghua University (Natural Science) 2004 (03)
Lu, Study of Affecting Factors on the Performance of UV Protection of Textiles[Papers] –Journal of Zhong Yuan Institute of Technology, 2004 (03) [5] P.

In the field of industrial engineering and information science, optical science increasingly wide range of applications, optical measuring more important in engineering applications.
Introduction Integrating sphere is a hollow sphere , the inner wall is coated with a reflective material diffuse ideal sphere , the external material is generally a metal material , its wall has a plurality of ball apertures for placing a light receiving or light wells sphere.
[8]Han-ping Wu.The basis of photoelectric system disign[M].Bei Jing,Science Press. 2010
[10]Xiao-bing Zheng,Yin-lin Yuan,Qiu-yun Xu,et al.New reference sources for radio metric calibration[J].Journal of Applied OPtics,2012,33(1):101-108
[11]Hong-xing Liu,Jian-wei Ren,Xian-sheng Li,et al.Screening of LED for spectrumtunable light source[J].Journal of Applied Optics,2013,34(1):56-61

Introduction At present, the anode materials for commercial lithium ion battery are dominated by graphitizing carbon materials.
Journal of Power Sources, 2003, 114: 228-236
Journal of Central South University(Natural Science), 2007, 138(3): 454-459
Advanced battery materials[M].
Nature Materials, 2009, (8)500-506

Experimental Method Experimental Raw Materials.
Copper powder extracted from copper slag was used as copper-based body materials, and ultrafine alumina particulates were used as reinforced materials.
Journal of Materials Science, 2007, 42(7): 2226-2230
Journal of the Minerals, Metals and Materials Society, 2000, 52(8): 20-25
Journal of Materials Science, 2007, 42(18): 7638-7642

Reference [12] refers to the absorbing materials used in building.
Figure 2 Horizontal polarization versus angle of new materials No.1 Figure 3 Vertical polarization versus angle of new materials No.1 Figure 4 Variation of power reflection coefficient varies to frequency for new materials No.1 With the viewpoint of frequency, bandwidth with power reflection coefficient less than -23 dB is up to 16 GHz.
Parameters of new materials No.2 Floor (mm) 1 2.3-j*0.1 1.042-j*0.055 3.0000 2 4.1-j*0.15 1.2-j*0.05 2.6454 3 18.1-j*3.4 1.7-j*2.2 2.1262 4 3.6-j*0.07 0.991-j*0.187 3.0000 5 21.5-j*1.5 1.6-j*2.5 0.0100 Remar-k Best average (8GHz~12GHz) is: -22.4872dB Figure 5 Horizontal polarization Versus angle of new materials No.2 Figure 6 Vertical polarization versus angle of new materials No.2 Figure 7 Power reflection coefficient versus frequency of new material No.2 Acknowledgment This work was supported in part by Shanghai Municipal Science and Technology Commission under Grant 11DZ2260800。
Mishing, in: Diffusion Processes in Advanced Technological Materials, edtied by D.
Clem: submitted to Journal of Materials Research (2003) Su Donglin, Qi Wanquan, Zhang Lu, Zhanyong, in：Evolutionary algorithm based on genetic inversion of electromagnetic parameters of absorbing structure [6] P.G.