4.8 Article

Large Block Copolymer Self-Assembly for Fabrication of Subwavelength Nanostructures for Applications in Optics

期刊

NANO LETTERS
卷 17, 期 5, 页码 2973-2978

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.nanolett.7b00226

关键词

Subwavelength nanostructures; antireflective surfaces; reflectivity; omnidirectional; graded refractive index; block copolymers; optics

资金

  1. Enterprise Ireland [CF/2014//4055]
  2. Science Foundation Ireland (SFI AMBER) [12/RC/2278]
  3. SFI Technology Innovation and Development Award [15/TIDA/2893]
  4. SFI Grant [14/IA/2581]

向作者/读者索取更多资源

Nanostructured surfaces are common in nature and exhibit properties such as antireflectivity (moth eyes), self-cleaning (lotus leaf)(i) iridescent colors (butterfly wing), and water harvesting (desert beetles). We now understand such properties and can mimic some of these natural structures in the laboratory. However,, these synthetic structures are limited since they, are not easily mass produced over large areas due to the limited scalability of current technologies such as UV-lithography, the high-cost of infrastructure, and the difficulty nonplanar surfaces. Here, we report a solution process based on block copolymer (BCP) self-assembly to fabricate subwavelength structures, on large areas of optical and, curved surfaces with feature sizes and spacings designed to efficiently scatter visible light. Si nanopillars (SiNPs) with diameter of similar to 115 +/- 19 nm, periodicity of 180 +/- 18 nm, and aspect ratio of 2-15 show a reduction in reflectivity by a factor of 100, <0.16% between 400 and 900 nm. at an angle of incidence of 30 degrees. Significantly, the reflectivity remains below 1/5% up to incident angles of 75 degrees. Modeling the efficiency of-a SiNP PV suggests a 24.6% increase in efficiency, representing a 3.52% (absolute) of 16.7% (relative) increase in electrical energy-output from-the PV system Compared to AR-coatect device.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据