Toward the development of a quantitative tool for predicting dispersion of nanocomposites under non-equilibrium processing conditions
Publication
, Journal Article
Hassinger, I; Li, X; Zhao, H; Xu, H; Huang, Y; Prasad, A; Schadler, L; Chen, W; Catherine Brinson, L
Published in: Journal of Materials Science
May 2016
Duke Scholars
Published In
Journal of Materials Science
DOI
EISSN
1573-4803
ISSN
0022-2461
Publication Date
May 2016
Volume
51
Issue
9
Start / End Page
4238 / 4249
Publisher
Springer Science and Business Media LLC
Related Subject Headings
- Materials
- 40 Engineering
- 34 Chemical sciences
- 09 Engineering
- 03 Chemical Sciences
Citation
APA
Chicago
ICMJE
MLA
NLM
Hassinger, I., Li, X., Zhao, H., Xu, H., Huang, Y., Prasad, A., … Catherine Brinson, L. (2016). Toward the development of a quantitative tool for predicting dispersion of nanocomposites under non-equilibrium processing conditions. Journal of Materials Science, 51(9), 4238–4249. https://doi.org/10.1007/s10853-015-9698-1
Hassinger, Irene, Xiaolin Li, He Zhao, Hongyi Xu, Yanhui Huang, Aditya Prasad, Linda Schadler, Wei Chen, and L. Catherine Brinson. “Toward the development of a quantitative tool for predicting dispersion of nanocomposites under non-equilibrium processing conditions.” Journal of Materials Science 51, no. 9 (May 2016): 4238–49. https://doi.org/10.1007/s10853-015-9698-1.
Hassinger I, Li X, Zhao H, Xu H, Huang Y, Prasad A, et al. Toward the development of a quantitative tool for predicting dispersion of nanocomposites under non-equilibrium processing conditions. Journal of Materials Science. 2016 May;51(9):4238–49.
Hassinger, Irene, et al. “Toward the development of a quantitative tool for predicting dispersion of nanocomposites under non-equilibrium processing conditions.” Journal of Materials Science, vol. 51, no. 9, Springer Science and Business Media LLC, May 2016, pp. 4238–49. Crossref, doi:10.1007/s10853-015-9698-1.
Hassinger I, Li X, Zhao H, Xu H, Huang Y, Prasad A, Schadler L, Chen W, Catherine Brinson L. Toward the development of a quantitative tool for predicting dispersion of nanocomposites under non-equilibrium processing conditions. Journal of Materials Science. Springer Science and Business Media LLC; 2016 May;51(9):4238–4249.
Published In
Journal of Materials Science
DOI
EISSN
1573-4803
ISSN
0022-2461
Publication Date
May 2016
Volume
51
Issue
9
Start / End Page
4238 / 4249
Publisher
Springer Science and Business Media LLC
Related Subject Headings
- Materials
- 40 Engineering
- 34 Chemical sciences
- 09 Engineering
- 03 Chemical Sciences