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Online since: September 2013
Authors: Miao Sun, Yong Hu, Hua Guo
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
Online since: June 2012
Authors: Wei Lin Shi, Ye Fei Jin, Qian Xu
Observing of Surface Microstructure Pearl in Bionic Materials by Scanning Electron Microscopy Weilin Shi1,2,a, Yefei Jin2, b, Qian Xu1,c 1School of Environmental Science and Engineer, Suzhou University of Sciences and Technology,Suzhou 215009, Jiangsu, P.
China 2School of Life Science, Shaoxing University of Arts and Sciences, Shaoxing 312000, Zhejiang, China aweilin_shi@sina.com, bbotany@usx.edu.cn, cwo13625614097@126.com Keywords: Surface microstructure; scanning electronic microscopy (SEM); freshwater pearls; aragonite blocks;bionic materials Abstract.
The study of surface microstructure pearl in bionic materials will be helpful for the development of bionic materials.
Through the study of the topic, which had made great achievements in bionic materials research,and the study on hypostracum will be meaningful for the bionics Design of many materials.
Journal of East China University of Science and Technology (In China), Vol. 27, No. 2, pp. 204-210, 2001 [7] N.
Online since: January 2014
Authors: Ming Tian Li, Jun Lian He
A Mixed-mode Fracture Criterion for Brittle Materials LI Mingtian1, a, HE Junlian1, b 1Department of Civil Engineering, Shandong Jiaotong University, Jinan, China almt21st@163.com, bhejunlian@hotmail.com Keywords: Fracture criterion, mixed mode, surface crack, direct tension experiments, brittle materials Abstract.
Direct tension experiments of brittle materials with surface crack have been carried out.
But surface and internal cracks were confronted in most cases their fracture criterion ere studied few and most pointed at metal materials.
Therefore based on experimental results and numerical simulation, surface crack growth was studied and a revised fracture criterion fit for brittle materials was presented.
Zhu: International Journal of Rock Mechanics and Mining Science, Vol.41(2004),41 [7] M.L.
Online since: August 2019
Authors: Balasubramanian Ravisankar, S. Suresh Kumar, F. Mohammed Ajmal Sheriff, M.J. Silvister Raju
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.
Online since: November 2023
Authors: Elina Barone, Baiba Gaujena, Martins Vilnitis
At the start, they indeed used materials that were more accessible.
Videmanis, Projectile penetration depth into wood-based frames of unclassified buildings, Far East Journal of Mathematical Sciences. 3 (2022) 11-20. http://dx.doi.org/10.17654/2229451122002 [34] M. 
Nasrin Ferdous, Kevlar-The Super Tough Fiber, International Journal of Textile Science. 1(6) (2013) 78-83.
Jauberthie, Enhanced Gypsum Panels for Fire Protection, Journal of Materials in Civil Engineering. 20(1) (2008) 71-77. https://doi.org/10.1061/(ASCE)0899-1561(2008)20:1(71) [59] A. de Korte, H. 
Smirnov, Energy performance of temporary shelters, IOP Conference Series: Materials Science and Engineering, Institute of Physics Publishing. 2019.
Online since: August 2023
Authors: Katerina Lebedeva, Anna Cherkashina, Tetyana Tykhomyrova, Vladimir Lebedev
Alvarez, J.G Hardy., M.F Desimone, Stimuli-responsive materials for tissue engineering and drug delivery, International Journal of Molecular Sciences. 21 (2020) 4724
Detsch, Biofabrication of vessel-like structures with alginate di-aldehyde-gelatin (ADA-GEL) bioink,  Journal of Materials Science: Materials in Medicine. 30 (2019) 8
Boccaccini, A review of hydrogel-based composites for biomedical applications: Enhancement of hydrogel properties by addition of rigid inorganic fillers, Journal of Materials Science. 51 (2016) 271–310
Saimbetova, Design and Research of Eco-Friendly Polymer Composites, Materials Science Forum. 1006 (2020) 259–266
Lytvynenko, Sorption Resistance Studying of Environmentally Friendly Polymeric Materials in Different Liquid Mediums, Materials Science Forum. 1038 (2021) 168–174
Online since: September 2016
Authors: Maria A. Vasilyeva
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
Online since: April 2021
Authors: Arturo Zalapa-Damian, Francisco Javier Domínguez-Mota, José Alberto Guzmán-Torres, Elia Mercedes Alonso Guzmán
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
Online since: November 2020
Authors: Djoko Sihono Gabriel, Angga Ananditto
The higher quality of recycled plastic pellets proposed as the higher functionality of the materials according to its use-ability as raw materials [15].
New York: Science
Materials & Design 62 (2014), 189-198
Endthen: Material Value Conservation: Development of Design Criteria for Rigid Plastic Packaging, Materials Science Forum, vol. 936 (2018), pp. 110-115
Nurcahyo: Impact of Plastic Packaging Design on the Sustainability of Plastic Recyclers, International Journal of Applied Science and Engineering (2019). 16, 1: 25-33.
Online since: July 2008
Authors: Wen Feng Xu, Xiao Ling Liao, Zhi Qiang Gao
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