Vesicle Array-Templated Large-Area Silica Surface Patterns.

In this article, researchers report an approach for generating surface patterns of microscale silica features up to areas of 10 mm² using vesicle arrays as templates at room temperature. The morphologies of silica features, including convex protrusions, concave depressions, and their hierarchical co...

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Publicado en:Journal of the American Chemical Society Vol. 127; no. 29; pp. 10154 - 10156
Autores principales: Qihui Shi, Jianfang Wang, Wyrsta, Michael D., Stucky, Galen D.
Formato: Artículo
Publicado: American Chemical Society 7/27/2005
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 7/27/2005
      vid: 127
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      pub: American Chemical Society
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        10.1021/ja052815j
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        atl: Vesicle Array-Templated Large-Area Silica Surface Patterns.
      aug:
        au:
          Qihui Shi
          Jianfang Wang
          Wyrsta, Michael D.
          Stucky, Galen D.
        affil:
          Department of Chemistry and Biochemistry, University of California, Santa Barbara, California 93106
          Kiowan, Inc., Santa Barbara, California 93103
      su:
        Silica
        Silicon compounds
        Temperature
        Microlensing (Astrophysics)
        Imaging systems
        Research
      sug:
        subj:
          Silica
          Silicon compounds
          Temperature
          Microlensing (Astrophysics)
          Imaging systems
          Research
      ab: In this article, researchers report an approach for generating surface patterns of microscale silica features up to areas of 10 mm² using vesicle arrays as templates at room temperature. The morphologies of silica features, including convex protrusions, concave depressions, and their hierarchical combinations, are controlled synthetically. It is further demonstrated that these surface patterns can function as arrays of microlenses that are capable of producing numerous images from a common object. Researchers believe that their approach is of implications for chemically designing and tailoring hierarchically structured materials with desired functions.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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