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Record W3011461807 · doi:10.22215/etd/2020-13943

Multi-Layer Aperiodic Dielectric Stack Structures for High Performance Electromagnetic Spectral Shaping from mm-Wave to mid-IR Frequencies

2020· dissertation· en· W3011461807 on OpenAlexaff
Joseph Botros

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsCarleton University
Fundersnot available
KeywordsAperiodic graphMaterials scienceDielectricFabricationOptoelectronicsCommon emitterBandwidth (computing)Stack (abstract data type)OpticsElectronic engineeringEngineeringComputer sciencePhysicsTelecommunications

Abstract

fetched live from OpenAlex

Multi-layered stacked dielectric devices provide the mechanism of using resonance cavities, based on Fabry-Perot interferometer theory, for spectral shaping for filtering or beam emission purposes.This thesis describes the completion of two projects to demonstrate the capabilities of such structures.The first focused on the design and fabrication of a stacked dielectric structure to achieve a broadband filtering response at millimeter-wave (mm-wave) frequencies.The measured structure consists of a periodic arrangement of different dielectric materials (aperiodic designs demonstrated in simulation) to exhibit a bandpass (BP) response.These structures are designed using a transmission line (t-line) model and confirmed with full-wave simulations.Compared to standard printed circuit board (PCB) fabrication, stacked dielectric structures are expected to exhibit better loss performance, due to absence of metallic patterns, and are easier to fabricate at mm-waves because of the absence of constraints from PCB line-width/gap dimension tolerances.An example structure was designed, fabricated, and measured with a center frequency 57 GHz consisting of three dielectric slabs and two air gaps.ANSYS FEM-HFSS simulations of this structure show well-matched BP performance, insertion loss of less than 1 dB, and a 3-dB bandwidth of 4.5 GHz.Measurement of the fabricated structure shows excellent performance and correlation with simulation.The second project focused on the design, fabrication, and direct thermal testing of a multi-layer aperiodic all-dielectric thermal emitter, with its high quality factor (Q-factor) and emissivity properties being experimentally demonstrated for carbon dioxide gas sensing applications.Using a 7-layer dielectric stack consisting of alternating layers of silicon and silicon dioxide, backed by a metallic ground plane, an emittance of 0.7 and Q-factor of 113 is achieved at 70°C.This is the first time a direct thermal testing of such a structure is reported, thereby showing narrowband emission properties of such structures when heated above room temperatures.An all-dielectric stack is thus found to be a simple, deposition-based, structure that does not require any lateral mask preparation as the frequency selectivity is achieved using an aperiodic arrangement of alternating dielectrics with contrasting permittivities.For both projects, superior performance of the aperiodic stacked dielectric structures over their periodically stacked counterparts is demonstrated using numerical examples.I present this thesis as a testimony to the power of the Lord, God and Savior, Jesus Christ.We are granted gifts of locomotion through our limbs, intellect through the use of our minds, and the resources of society through our great nation of Canada.Without these gifts, this thesis would not have been possible, so I thank our God for facilitating the successful completion of this work.I thank His Saints, in particular, the ever-virgin Holy Theotokos Saint Mary, and Saint Menas, the Wonderworker.Foremost, I am grateful and indebted to my supervisors Prof. Shulabh Gupta and Prof. Rony E. Amaya.I thank Prof. Amaya for opening the gateways to many interesting and novel paths of research in Electrical Engineering and for providing avenues to pursue that research through his excellent network of connections in research and in industry.I also thank Prof. Gupta for providing continuous feedback, advice, and guidance which kept me continually progressing in my research up to the completion of my thesis.My supervisors' energy, passion for their work, and momentum in their research helped me grow as a better person, becoming a deserved recipient of a Master's degree.I would also like to thank Prof. Niall Tait

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.032
GPT teacher head0.249
Teacher spread0.216 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2020
Admission routes1
Has abstractyes

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