2026-09-22T07:02:35Zhttps://repository.rice.edu/server/oai/request

oai:repository.rice.edu:1911/1181852025-09-16T20:45:55Zcom_1911_8299col_1911_13110

Nordlander, Peter Lakhanpal, Kunal 2025-01-16T20:14:55Z 2025-01-16T20:14:55Z 2024-12 2024-09-17 December 2024 2025-01-16T20:14:55Z https://hdl.handle.net/1911/118185 This work is an in-depth assessment of the optimization techniques used for metasurface inverse design in the field of nanophotonics. Each technique is detailed and implemented, comparing and contrasting the results produced by the numerical methods. A unique DDA solver is used to speed up the computation of the electromagnetic fields, which are used to determine the quality of the proposed designs. Fabrication limitations are also taken into consideration, and various filters were used to introduce a minimum length-scale to the designs. Finally, multi-band optimization was implemented in order to prevent single-wavelength peaks, which are unrealizable in practice. application/pdf eng Copyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder. inverse design nanophotonics metasurfaces metastructures dielectrics photonic modes optimization DDA numerical gradient descent topology optimization genetic algorithm penalty computation electromagnetic fields discretization objective function adjoint GPU CUDA Python C++ DDA-based Inverse Design of Nanophotonic Metasurfaces: a Benchmarking of Optimization Techniques Thesis Text Applied Physics Applied Physics/Physics Rice University Masters Master of Science open.access