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Record W4312968492 · doi:10.1109/tnano.2022.3221309

A Programmable Complex Impedance IC for Scalable and Reconfigurable Meta-Atoms

2022· article· en· W4312968492 on OpenAlexaff
Loukas Petrou, Kypros M. Kossifos, Marco A. Antoniades, Julius Georgiou

Bibliographic record

VenueIEEE Transactions on Nanotechnology · 2022
Typearticle
Languageen
FieldMaterials Science
TopicMetamaterials and Metasurfaces Applications
Canadian institutionsToronto Metropolitan University
FundersEuropean Regional Development FundResearch and Innovation FoundationEuropean Commission
KeywordsScalabilityElectrical impedanceControl reconfigurationHigh impedanceComputer scienceElectronic engineeringCMOSElectronic circuitIntegrated circuitElectrical engineeringEngineeringEmbedded system

Abstract

fetched live from OpenAlex

This article presents the design of a fully-custom integrated circuit (IC) suitable for adjusting the complex impedance of individual meta-atoms to enable programmability of metasurface systems. Implemented in a 0.18 μm mixed-signal CMOS process, the circuit utilizes four integrated complex impedance elements, each one with 2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">16</sup> available states. The impedance elements are optimized between 2–6 GHz, thus covering the entire S-band as well as half of the C-band. An asynchronous digital control circuit based on Quasi Delay Insensitive (QDI) circuits has been employed, offering basic communication capabilities and software programmability, but most importantly, the clockless operation allows for extreme scalability, ultra-low static power consumption and low electromagnetic (EM) radiated emissions. An array of meta-atoms utilizing the ICs can form metasurfaces with arbitrary sizes and shapes, on both rigid and flexible substrates, adjusting their surface impedance without interfering with incoming EM waves. Measurement results of the 2.2 mm × 2.2 mm IC demonstrate that it achieves a reconfiguration frequency of 1 MHz for all loading elements, whilst consuming 324 μW static power consumption.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.180
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.061
GPT teacher head0.282
Teacher spread0.220 · 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 teacher head, not a consensus.

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".

Quick stats

Citations6
Published2022
Admission routes1
Has abstractyes

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