Compound Meta-optics for Complete Wavefront Control
| dc.contributor.advisor | Valentine, Jason | |
| dc.contributor.committeeChair | Valentine, Jason | |
| dc.creator | Zheng, Hanyu | |
| dc.creator.orcid | 0000-0003-1922-8112 | |
| dc.date.accessioned | 2023-05-17T20:49:12Z | |
| dc.date.available | 2023-05-17T20:49:12Z | |
| dc.date.created | 2023-05 | |
| dc.date.issued | 2023-03-10 | |
| dc.date.submitted | May 2023 | |
| dc.date.updated | 2023-05-17T20:49:12Z | |
| dc.description.abstract | Optical metasurfaces, based on subwavelength structuring, offer a compact platform for manipulation of the amplitude, phase and polarization state of light. Independent control over these properties, however, is hindered by the limited engineering freedom associated with single-layer metasurfaces. In this dissertation, we utilize compound meta-optics to realize high-efficiency, independent, control over the amplitude, phase, and polarization state of light. High efficiency control is enabled by redistributing the wavefront between cascaded metasurfaces while end-to-end inverse design is used to realize independent complex-valued functions for orthogonal polarization states. Based on this platform, we demonstrate 3-dimensional holography, mode division multiplexing, optical mode conversion and universal vectorial holograms, all with diffraction efficiencies over 75%. We also demonstrate how compound meta-optics can serve as optical neural network accelerators that off-load computationally expensive convolution operations into high-speed and low-power optics. In this scenario, metasurfaces enable both spatial multiplexing and additional information channels, such as polarization, in object classification. End-to-end design is used to co-optimize the optical and digital systems resulting in a robust classifier that achieves 93.1% accurate classification of handwriting digits and 93.8% accuracy in classifying both the digit and its polarization state. This approach could enable compact, high-speed, and low-power image and information processing systems for a wide range of applications in machine-vision and artificial intelligence. Finally, this dissertation explores a prototyping platform based on self-assembled nanosphere lithography. As a result, a large-scale periodic metasurface is presented as a high-k filter for edge enhancements. In addition, grayscale lithography is used to realize nonperiodic large-scale metasurface devices including metalenses with diffraction-limited focusing and meta-holograms which could open new doors to cost effective and large-scale fabrication of a wide range of metasurface-based optics. | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.uri | http://hdl.handle.net/1803/18206 | |
| dc.language.iso | en | |
| dc.subject | Metasurfaces, Machine Vision | |
| dc.title | Compound Meta-optics for Complete Wavefront Control | |
| dc.type | Thesis | |
| dc.type.material | text | |
| thesis.degree.discipline | Electrical Engineering | |
| thesis.degree.grantor | Vanderbilt University Graduate School | |
| thesis.degree.level | Doctoral | |
| thesis.degree.name | PhD |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- ZHENG-DISSERTATION-2023.pdf
- Size:
- 35.19 MB
- Format:
- Adobe Portable Document Format