MétaCan
Menu
Back to cohort
Record W3197158479 · doi:10.1190/segam2021-3585521.1

3D radio-frequency electromagnetic wave modelling with an optimized frequency-domain finite-difference scheme

2021· article· en· W3197158479 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicGeophysical Methods and Applications
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsDiscretizationFrequency domainElectromagneticsRadio frequencyDispersion (optics)GridComputer scienceFinite differenceFinite difference methodComputational electromagneticsPhysicsGeologyTelecommunicationsElectromagnetic fieldMathematicsEngineering physicsOpticsMathematical analysisGeodesy

Abstract

fetched live from OpenAlex

We present an optimized frequency domain finite difference scheme to model electric fields at radio-frequencies with application to mining. The targets of interest are sulphide-bearing zones that have significantly higher conductivity than the surrounding rocks. The optimal scheme is implemented on a staggered grid, where averaging is applied to improve numerical dispersion resulting from finite difference discretization. Synthetic modelling examples are provided that show reduction of the required number of grid points per wavelength at higher frequencies with the optimized scheme due to reduction of numerical dispersion.

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: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.798
Threshold uncertainty score0.822

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 head0.021
GPT teacher head0.225
Teacher spread0.204 · 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

Quick stats

Citations2
Published2021
Admission routes1
Has abstractyes

Explore more

Same topicGeophysical Methods and ApplicationsFrench-language works237,207