The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Towards High‐Performance Bioinspired Composites
Abstract
Biological composites have evolved elaborate hierarchical structures to achieve outstanding mechanical properties using weak but readily available building blocks. Combining the underlying design principles of such biological materials with the rich chemistry accessible in synthetic systems may enable the creation of artificial composites with unprecedented properties and functionalities. This bioinspired approach requires identification, understanding, and quantification of natural design principles and their replication in synthetic materials, taking into account the intrinsic properties of the stronger artificial building blocks and the boundary conditions of engineering applications. In this progress report, the scientific and technological questions that have to be addressed to achieve this goal are highlighted, and examples of recent research efforts to tackle them are presented. These include the local characterization of the heterogeneous architecture of biological materials, the investigation of structure–function relationships to help unveil natural design principles, and the development of synthetic processing routes that can potentially be used to implement some of these principles in synthetic materials. The importance of replicating the design principles of biological materials rather than their structure per se is highlighted, and possible directions for further progress in this fascinating, interdisciplinary field are discussed.
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Cites
Graphene-based composite materials
Stankovich, S., Dikin, D. A., Dommett, G. H. B., Kohlhaas, K. M., Zimney, E. J., Stach, E. A., Piner, R. D., Nguyen, S. T., & Ruoff, R. S. (2006) · Nature · doi:10.1038/nature04969 · Cited by 12,922
Mussel-inspired surface chemistry for multifunctional coatings
Lee, H., Dellatore, S. M., Miller, W. M., & Messersmith, P. B. (2007) · Science · doi:10.1126/science.1147241 · Cited by 10,965
Silica-Like Malleable Materials from Permanent Organic Networks
Montarnal, D., Capelot, M., Tournilhac, F., & Leibler, L. (2011) · Science · doi:10.1126/science.1212648 · Cited by 3,625
Lowenstam, H. A., & Weiner, S. (1989) · doi:10.1093/oso/9780195049770.001.0001 · Cited by 2,090
Tough, Bio-Inspired Hybrid Materials
Munch, E., Launey, M. E., Alsem, D. H., Saiz, E., Tomsia, A. P., & Ritchie, R. O. (2008) · Science · doi:10.1126/science.1164865 · Cited by 1,822
Biomechanics of cellular solids
Gibson, L. J. (2005) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2004.09.027 · Cited by 961
Fantner, G. E., Hassenkam, T., Kindt, J. H., Weaver, J. C., Birkedal, H., Pechenik, L., Cutroni, J. A., Cidade, G. A. G., Stucky, G. D., Morse, D. E., et al. (2005) · Nature Materials · doi:10.1038/nmat1428 · Cited by 933
Bioinspired mechanically adaptive polymer nanocomposites with water-activated shape-memory effect
Mendez, J., Annamalai, P. K., Eichhorn, S. J., Rusli, R., Rowan, S. J., Foster, E. J., & Weder, C. (2011) · Macromolecules · doi:10.1021/ma201502k · Cited by 319
Cited by
Bioinspired structural materials
Wegst, U. G. K., Bai, H., Saiz, E., Tomsia, A. P., & Ritchie, R. O. (2015) · Nature Materials · doi:10.1038/nmat4089 · Cited by 4,721
Liu, Z., Meyers, M. A., Zhang, Z., & Ritchie, R. O. (2017) · Progress in Materials Science · doi:10.1016/j.pmatsci.2017.04.013 · Cited by 895
Hierarchically Enhanced Impact Resistance of Bioinspired Composites
Gu, G. X., Takaffoli, M., & Buehler, M. J. (2017) · Advanced Materials · doi:10.1002/adma.201700060 · Cited by 396
Metadata
- Authors
- Studart, A. R.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2012-07-13
- Volume
- 24
- Issue
- 37
- Pages
- 5024-5044
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2131834629
- Cited by
- 429
- References
- 8
- FWCI
- 9.02
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.