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Record W4366138893 · doi:10.1088/1402-4896/accd9d

The perspectives and trends of THz technology in material research for future communication - a comprehensive review

2023· review· en· W4366138893 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

VenuePhysica Scripta · 2023
Typereview
Languageen
FieldEngineering
TopicTerahertz technology and applications
Canadian institutionsQueen's University
Fundersnot available
KeywordsTerahertz radiationRealmCharacterization (materials science)NanotechnologyEngineering physicsMaterials scienceEngineering ethicsComputer scienceEngineeringOptoelectronicsPolitical science

Abstract

fetched live from OpenAlex

Abstract In recent years, the realm of terahertz (THz) has seen a new paradigm of unprecedented development and offered new possibilities to strengthen the communication sector by studying the dielectric properties of different materials. The aim of this article is to present a comprehensive review of various THz technologies that have been employed to investigate the intrinsic characteristics of different materials. In addition, the study highlights the significance use of THz wave guides with some discussion on sources, and detectors and components. Towards the end, it highlights the future trends of THz technology and the challenges. The paper concludes that THz technology has a promising potential and offer new opportunities for applications in characterization of composite materials.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.974
Threshold uncertainty score0.486

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.109
GPT teacher head0.418
Teacher spread0.309 · 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