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Record W3088126065 · doi:10.1088/1361-6463/abbb46

Design and simulation of a wideband, wide-angle and polarization-insensitive microwave absorber based on pattern optimization of resistive films

2020· article· en· W3088126065 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Physics D Applied Physics · 2020
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsResistive touchscreenMicrowaveMaterials scienceWidebandPlanarOpticsPolarization (electrochemistry)Bandwidth (computing)DielectricOptoelectronicsPhysicsComputer scienceTelecommunicationsEngineeringElectrical engineeringChemistry

Abstract

fetched live from OpenAlex

Abstract A wideband, thin, and multilayer (planar) microwave absorber is designed in this paper. The absorber is a periodic array of cells which includes three patterns of resistive film on two dielectric substrates. To design the array’s cell, a pattern optimization procedure based on the application of a binary optimization algorithm was utilized. The outcome of this procedure is a pixelated pattern of resistive film yielding the maximum possible absorption bandwidth (BW) and a high insensitivity to the polarization of the incident wave. Our pattern-optimized design achieved a 90%-absorption rate over a wide frequency BW of 1.6 to 23.7 GHz (175% fractional BW) under normal incidence. Moreover, the absorber operates over a wide range of incidence angles for obliquely incident waves.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.868
Threshold uncertainty score0.512

Codex and Gemma teacher scores by category

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.017
GPT teacher head0.217
Teacher spread0.199 · 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