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The core materials are epoxy.
(3) The self-healing materials, including core materials and shell materials, sometimes, can be manufactured by several methods.
Journal of Microencapsulation, 2003(20), pp.719–730
Journal of Applied Polymer Science, 2009(113), pp.1501–1506
Materials Science, 2012, 59(78),pp.172-231

Shockwave Response of Polymer and Polymer Nanocomposites Jean Njoroge1,b, Arnab Chakrabarty2,c and Tahir Cagin1,2,a 1Department of Materials Science and Engineering, Texas A&M University, College Station, Texas, 77843-3003, USA 2Department of Chemical Engineering, Texas A&M University, College Station, Texas, 77843-3022, USA atcagin@tamu.edu, bjnjoroge@tamus.edu, carnabc@gmail.com, cbedri.arman@chemail.tamu.edu Keywords: computational materials science, nanocomposites, dynamic response, shock waves, graphene, polyurathene Abstract.
[3] Meyers, M.A., Dynamic Behavior of Materials. 1994, New York: John Wiley
[6] Kasparek, E., et al., Computational Materials Science, 2011. 50(4): p. 1353-1358
[15] Veca, L.M., et al., Advanced Materials, 2009. 21(20): p. 2088-2092
[17] Grujicic, M., et al., Materials Science and Engineering: A, 2011. 528(10-11): p. 3799-3808

Journal of Thermoplastic Composite Materials, 35(8), 1169-1209
Journal of Renewable Materials, 8(10), 1215-1242
Journal of Applied Polymer Science, 115(3), 1846–1852
International Journal of Social Science Exceptional Research, 4(1), 79-97
Journal of materials science, 51(16), 7480-7490.

Research on Carbon Calculation of Rural Roofing Materials Jun Liu1, a,Linwang Li1, b, Yanlei Sun1, c, Wei Qi1, d 1College of Materials Science and Engineering, Shenyang Jianzhu University, Shenyang 110168, China aliujun2699@126.com, b729202251@qq.com, c714427477@qq.com, d 493334996@qq.com Keyword: carbon emission; rural roofing building materials; calculation method; life cycle Abstract.
Journal of Tsinghua University: Natural Science, Vol.50 (2010) No. 3, 330-334.
Research of Environmental Sciences, Vol.20 (2007) No.6, 149-153.
Journal of Shenyang Jianzhu University: Natural Science, Vol.5 (2013) No. 29, 0876-0882.
Building science, Vol.27 (2011) No. 4, 1-7.

Summary Crack penetration through the bi-material interface of two polymeric materials was numerically investigated.
References [1] Erdogan F., Journal of Applied Mechanics 30, 232-236, 1963 [2] Bogy, D.B., International Journal of Fracture 38, 911–918, 1971
[3] Meguid, S.A., Tan, M., Zhu, Z.H., International Journal of Fracture 75, 1–25, 1995
[5] Hutař P., Náhlík L., Knésl Z., Computational Materials Science 45, 653-657, 2009
[6] Náhlík L., Šestáková L., Hutař P., Computational Materials Science 46, 614-620, 2010

Methods and Materials In the present work, a 1×1×8 supercell of rutile TiO2 was constructed.
Ibusuki: Journal of Materials Science, Vol. 33 (1998), pp.5789-5794
Lokhande: Journal of materials science, Vol. 46 (2011), pp.2288-2293
Rabbani: Journal of Sol-Gel Science and Technology, Vol. 64 (2012), pp.17-26
Xing: Journal of Materials Chemistry, Vol. 22 (2012), pp.19718-19725

Thermal Analysis of Dissimilar Materials Diffusion Bonding Using Finite Element Method S.
Silvister Raju4,d 1Department of Mechanical Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai. 2Department of Metallurgical and Materials Engineering.
Huh, Simulation of superplastic forming/diffusion bonding with finiite-element analysis using the convective coordinate system, Journal of Materials Processing Technology. 89-90, (1999) 92-98
[6] Ekram Atta Al-Ajaj, Awfa Abdul- Rassol Abdullah and Ahmed Ali Moosa, Modeling and Experimental Studies of Diffusion Bonding of Inconel 600 To Pyrolytic Graphite, International Journal of Metallurgical & Materials Science and Engineering. 2278-2516 (2013) 9-30
Mishra, Finite element simulation of selective super plastic forming of friction stir processed 7075 Al alloy, Materials science and Engineering A. 463 (2007) 245 – 248.

Zaborski, Magnetorheological materials based on ethylene-octene elastomer, Polymer. 59 (2014) 825-833
Park, Effects of waste ground fluororubbervulcanizate powders on the properties of silicone rubber/fluororubber blends, Journal of applied polymer science. 127 (2013) 561-569
Krause, Magnetoactive liquid crystal elastomer nanocomposites, Journal of materials chemistry. 19 (2009) 538-543
Punzhin, Metallic muscles and beyond: nanofoams at work, Journal of materials science. 51 (2016) 615-634
Krasucki, Modeling of smart materials with thermal effects: Dynamic and quasi-static evolution, Mathematical models & methods in applied sciences. 25 (2015) 2633-2667

The materials belong to Morelia, Michoacán, Mexico area.
Waste and recycled materials and their impact on the mechanical properties of construction composite materials.
International Journal of Materials and Product Technology, 21(5):385-401, 2004
Anti-Corrosion Methods and Materials, 2015
Advances in Materials Science and Engineering, 2014, 2014

Application of artificial neural network to forecast the tensile fatigue life of carbon material Xiaoling Liaoa , Wenfeng Xub , Zhiqiang Gaoc Chemistry and Environment Science Department, Chongqing University of Arts and Sciences, Chongqing 402160, China a zxc_228@163.com; b xwf_228@163.com; cgzq@cqwu.net Keywords: Artificial neural network, carbon materials, tensile fatigue life, forecast Abstract: Artificial neural network (ANN) is widely applied to the modeling of complex systems, which has become a common modeling method in the study of materials science.
As the ideal candidates for high temperature structural materials, carbon materials are no doubt involved in fatigue loads, so the study on forecasting fatigue life is meaningful.
As preferred high-temperature structural materials, the potential applications for carbon materials are bound to involve fatigue loading.
At the same time, artificial neural network (ANN) is widely applied to the modeling of complex systems, and now it has become a common modeling method in the study of materials science, but the reports using ANN to forecast the fatigue life of material are few.
Journal of Materials Processing Technology, 2002,(122):196-200 Cycle/n Applied stress/MPa �R/Ro/% Fig.4 The network trainrecord of forecast Import Adjusting error Connect error of every nerve cell Target value Export Fig.3 The study sketch of ANN Compare