4.8 Article

Hexagonal nanoporous germanium through surfactant-driven self-assembly of Zintl clusters

Journal

NATURE
Volume 441, Issue 7097, Pages 1126-1130

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/nature04891

Keywords

-

Ask authors/readers for more resources

Surfactant templating is a method that has successfully been used to produce nanoporous inorganic structures from a wide range of oxide-based material(1-5). Co-assembly of inorganic precursor molecules with amphiphilic organic molecules is followed first by inorganic condensation to produce rigid amorphous frameworks and then, by template removal, to produce mesoporous solids. A range of periodic surfactant/semiconductor and surfactant/metal composites have also been produced by similar methods(6-11), but for virtually all the non-oxide semiconducting phases, the surfactant unfortunately cannot be removed to generate porous materials. Here we show that it is possible to use surfactant-driven self-organization of soluble Zintl clusters to produce periodic, nanoporous versions of classic semiconductors such as amorphous Ge or Ge/Si alloys. Specifically, we use derivatives of the anionic Ge-9(4-) cluster(12-14), a compound whose use in the synthesis of nanoscale materials is established(15). Moreover, because of the small size, high surface area, and flexible chemistry of these materials, we can tune optical properties in these nanoporous semiconductors through quantum confinement(16,17), by adsorption of surface species, or by altering the elemental composition of the inorganic framework. Because the semiconductor surface is exposed and accessible in these materials, they have the potential to interact with a range of species in ways that could eventually lead to new types of sensors or other novel nanostructured devices.

Authors

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

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available