4.8 Article

Concurrent design of quasi-random photonic nanostructures

Publisher

NATL ACAD SCIENCES
DOI: 10.1073/pnas.1704711114

Keywords

wrinkles; light trapping; silicon photonics; spectral density function; pattern transfer

Funding

  1. National Science Foundation (NSF) [NSF CMMI-1462633, NSF EEC-1530734]
  2. Office of Naval Research [ONR N00014-13-1-0172]
  3. State of Illinois
  4. Northwestern University
  5. Northwestern University Atomic and Nanoscale Characterization Experimental Center by the NSF-Materials Research Science and Engineering Center [NSF DMR-1121262]
  6. Ryan Fellowship
  7. Northwestern University International Institute for Nanotechnology

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Nanostructured surfaces with quasi-random geometries can manipulate light over broadband wavelengths and wide ranges of angles. Optimization and realization of stochastic patterns have typically relied on serial, direct-write fabrication methods combined with real-space design. However, this approach is not suitable for customizable features or scalable nanomanufacturing. Moreover, trial-and-error processing cannot guarantee fabrication feasibility because processing-structure relations are not included in conventional designs. Here, we report wrinkle lithography integrated with concurrent design to produce quasi-random nanostructures in amorphous silicon at wafer scales that achieved over 160% light absorption enhancement from 800 to 1,200 nm. The quasi-periodicity of patterns, materials filling ratio, and feature depths could be independently controlled. We statistically represented the quasi-random patterns by Fourier spectral density functions (SDFs) that could bridge the processing-structure and structure-performance relations. Iterative search of the optimal structure via the SDF representation enabled concurrent design of nanostructures and processing.

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