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Cited by 455

The DOI matches its Crossref record; 140 of the 140 references it cites were found in a registry or an index.

Biomimetic Self‐Healing

Diesendruck, Charles E., Sottos, Nancy R., Moore, Jeffrey S., White, Scott R.·2015·Angewandte Chemie International Edition

Abstract

Self‐healing is a natural process common to all living organisms which provides increased longevity and the ability to adapt to changes in the environment. Inspired by this fitness‐enhancing functionality, which was tuned by billions of years of evolution, scientists and engineers have been incorporating self‐healing capabilities into synthetic materials. By mimicking mechanically triggered chemistry as well as the storage and delivery of liquid reagents, new materials have been developed with extended longevity that are capable of restoring mechanical integrity and additional functions after being damaged. This Review describes the fundamental steps in this new field of science, which combines chemistry, physics, materials science, and mechanical engineering.

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Crossref · 10.1002/anie.201500484

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Metadata

Authors
Diesendruck, C. E., Sottos, N. R., Moore, J. S., & White, S. R.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2015-07-21
Volume
54
Issue
36
Pages
10428-10447
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W2171047363
Cited by
455
References
140
FWCI
24.53
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Biomimetic Self‐Healing. https://app.cochat.ai/papers/10.1002/anie.201500484
The paper
Diesendruck, C. E., Sottos, N. R., Moore, J. S., & White, S. R. (2015). Biomimetic Self‐Healing. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201500484

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.