4.6 Article

Self-folding thin-film materials: From nanopolyhedra to graphene origami

Journal

MRS BULLETIN
Volume 37, Issue 9, Pages 847-854

Publisher

CAMBRIDGE UNIV PRESS
DOI: 10.1557/mrs.2012.184

Keywords

-

Funding

  1. ARO [W911NF-09-2-0065, W911NF-11-1-0171]
  2. NSF [CBET-1066898]
  3. Directorate For Engineering
  4. Div Of Civil, Mechanical, & Manufact Inn [1200241] Funding Source: National Science Foundation
  5. Division Of Mathematical Sciences
  6. Direct For Mathematical & Physical Scien [1306179] Funding Source: National Science Foundation
  7. Div Of Civil, Mechanical, & Manufact Inn
  8. Directorate For Engineering [1308396] Funding Source: National Science Foundation

Ask authors/readers for more resources

Self-folding of thin films is a more deterministic form of self-assembly wherein structures curve or fold up either spontaneously on release from the substrate or in response to specific stimuli. From an intellectual standpoint, the study of the self-folding of thin films at small size scales is motivated by the observation that a large number of naturally occurring materials such as leaves and tissues show curved, wrinkled, or folded micro-and nanoscale geometries. From a technological standpoint, such a self-assembly methodology is important since it can be used to transform the precision of existing planar patterning methods, such as electron-beam lithography, to the third dimension. Also, the self-folding of graphene promises a means to create a variety of three-dimensional carbon-based micro-and nanostructures. Finally, stimuli responsive self-folding can be used to realize chemomechanical and tether-free actuation at small size scales. Here, we review theoretical and experimental aspects of the self-folding of metallic, semiconducting, and polymeric films.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available