Bernardo, Luís F.A., Amaro, Ana P.B.M., Pinto, Deesy G., Lopes, Sérgio M.R. (2016) Modeling and simulation techniques for polymer nanoparticle composites – A review. Computational Materials Science, 118. 32-46 doi:10.1016/j.commatsci.2016.02.025

Library Home Bookshelves View by Type Using Search

Books Catalogs/Sales Lists Journals Reports Thesis/Dissertation Video

Search for Books Search for Journals Manage Subjects Statistics Books without DDC/LCC Top Unstructured Orphaned Articles

Bookshelves (DDC layout)Bookshelves (LCC layout)Visual Explorer DDC Treemap LCC Treemap DDC/LCC Crosswalk Classification Heatmap Latest Books

Advanced

Search inside 'Computational ...' only

- Only viewable:

Reference Type	Journal (article/letter/editorial)
Title	Modeling and simulation techniques for polymer nanoparticle composites – A review
Journal	Computational Materials Science
Authors	Bernardo, Luís F.A.		Author
	Amaro, Ana P.B.M.		Author
	Pinto, Deesy G.		Author
	Lopes, Sérgio M.R.		Author
Year	2016 (June)	Volume	118
Publisher	Elsevier BV
DOI	doi:10.1016/j.commatsci.2016.02.025Search in ResearchGate
	Generate Citation Formats
Mindat Ref. ID	9509725	Long-form Identifier	mindat:1:5:9509725:5
GUID	0
Full Reference	Bernardo, Luís F.A., Amaro, Ana P.B.M., Pinto, Deesy G., Lopes, Sérgio M.R. (2016) Modeling and simulation techniques for polymer nanoparticle composites – A review. Computational Materials Science, 118. 32-46 doi:10.1016/j.commatsci.2016.02.025
Plain Text	Bernardo, Luís F.A., Amaro, Ana P.B.M., Pinto, Deesy G., Lopes, Sérgio M.R. (2016) Modeling and simulation techniques for polymer nanoparticle composites – A review. Computational Materials Science, 118. 32-46 doi:10.1016/j.commatsci.2016.02.025
In	(n.d.) Computational Materials Science Vol. 118. Elsevier BV

	Pinto, Deesy, Bernardo, Luís, Amaro, Ana, Lopes, Sérgio (2015) Mechanical properties of epoxy nanocomposites using titanium dioxide as reinforcement – A review. Construction and Building Materials, 95. 506-524 doi:10.1016/j.conbuildmat.2015.07.124
	*Drathi, M.R., Ghosh, A. (2015) Multiscale modeling of polymer-matrix composites. Computational Materials Science, 99. 62-66 doi:10.1016/j.commatsci.2014.10.023*
	Wang, Guotong, Wang, Chengyuan, Zhang, Faling, Yu, Xiaozhu (2018) Electrical percolation of nanoparticle-polymer composites. Computational Materials Science, 150. 102-106 doi:10.1016/j.commatsci.2018.03.051
	Han, R.Q., Song, H.Y., An, M.R. (2021) Atomic simulation of interaction mechanism between dislocation and graphene in graphene/aluminum composites. Computational Materials Science, 197. 110604pp. doi:10.1016/j.commatsci.2021.110604
	Eckert, S., Gross, D. (2005) Simulation of macroscopic material behavior for uniaxial fiber-matrix composites, using a DAE-approach. Computational Materials Science, 32 (3). 348-354 doi:10.1016/j.commatsci.2004.09.033
	*Shokrieh, Mahmood M., Rafiee, Roham (2010) Stochastic multi-scale modeling of CNT/polymer composites. Computational Materials Science, 50 (2). 437-446 doi:10.1016/j.commatsci.2010.08.036*
	Zhang, Liang, Lu, Cheng, Tieu, Kiet (2016) A review on atomistic simulation of grain boundary behaviors in face-centered cubic metals. Computational Materials Science, 118. 180-191 doi:10.1016/j.commatsci.2016.03.021
	*Pang, Yong, Springborg, Michael (2016) Atomistic simulation of nanoindentation using the DFTB method. Computational Materials Science, 118. 203-213 doi:10.1016/j.commatsci.2016.03.024*
	Chamani, M., Farrahi, G.H., Movahhedy, M.R. (2016) Molecular dynamics simulation of nanoindentation of nanocrystalline Al/Ni multilayers. Computational Materials Science, 112. 175-184 doi:10.1016/j.commatsci.2015.10.022
	Jeon, Jaehyeuk, Kim, Jeongsik, Muliana, Anastasia (2013) Modeling time-dependent and inelastic response of fiber reinforced polymer composites. Computational Materials Science, 70. 37-50 doi:10.1016/j.commatsci.2012.12.022
	Han, Fei, Azdoud, Yan, Lubineau, Gilles (2014) Computational modeling of elastic properties of carbon nanotube/polymer composites with interphase regions. Part II: Mechanical modeling. Computational Materials Science, 81. 652-661 doi:10.1016/j.commatsci.2013.07.008

版权所有© mindat.org1993年至2026年，除了规定的地方。 Mindat.org全赖于全球数千个以上成员和支持者们的参与。
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
隐私政策 - 条款和条款细则 - 联络我们 - Report a bug/vulnerability Current server date and time: 2026.6.5 17:57:15

Go to top of page

Bernardo, Luís F.A., Amaro, Ana P.B.M., Pinto, Deesy G., Lopes, Sérgio M.R. (2016) Modeling and simulation techniques for polymer nanoparticle composites – A review. Computational Materials Science, 118. 32-46 doi:10.1016/j.commatsci.2016.02.025

See Also