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Record W2899293922 · doi:10.1109/compem.2018.8496620

Newmark Algorithm in FDTD Analysis of Multi-Ion Magnetized Plasma

2018· article· en· W2899293922 on OpenAlex
Fei Wang, Qingsheng Zeng, M.C.E. Yagoub

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
TopicElectromagnetic Simulation and Numerical Methods
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsFinite-difference time-domain methodPhysicsPlasmaComputational physicsMathematical analysisScatteringOpticsMathematicsQuantum mechanics

Abstract

fetched live from OpenAlex

Basing on the frequency-domain polarizability tensor of multi-ion magnetized plasma in principal coordinate system and the transfer matrix between laboratory and principal system, a finite difference time domain formulation, using Newmark algorithm, for multi-ion plasma subject to an external magnetic field with arbitrary direction is derived. Taking a two-component magnetized plasma medium for example, the reflection/transmission from a layer and backward scattering from a sphere are simulated, of witch the numerical results demonstrate the validity and feasibility of the proposed method. A conclusion, witch can be proved mathematically, that the upper limit of forbidden frequency band of circularly polarized eigen waves is greater than that in any one component existing alone case, and would increase with the increase of kinds of components, is found.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.922
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.285
Teacher spread0.270 · 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