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Record W7132892706

Development of an extended magnetohydrodynamic model for anisotropic plasmas

2004· dissertation· W7132892706 on OpenAlexfundno aff
Ken Miura

Bibliographic record

VenueTSpace · 2004
Typedissertation
Language
FieldMathematics
TopicGas Dynamics and Kinetic Theory
Canadian institutionsnot available
FundersUniversity of TorontoGovernment of Ontario
KeywordsMagnetohydrodynamicsMagnetohydrodynamic driveDiscretizationAnisotropyPlasmaFlow (mathematics)ElectronShock (circulatory)
DOInot available

Abstract

fetched live from OpenAlex

An extended magnetohydrodynamic (MHD) model capable of modelling anisotropic and non-equilibrium plasma flows is proposed based on a ten-moment approximation to the solution of the Boltzmann equations, having a full second-order pressure tensor. The extended MHD model has been derived using many of the assumptions and methods used to derive the standard MHD equations. The model makes use of separate pressure and energy equations for the ions and electrons and a Bhatnagar-Gross-Krook (BGK) collision operator is used to model ion and electron collisional processes. Eigenstructure analysis is used to explore the mathematical and physical characteristics as well as the hyperbolicity and realizability regimes of the model. A point-implicit finite-volume upwind scheme with second-order time stepping and a limited second-order spatial discretization procedure is used to examine the capabilities of the model and compare its predictions to those provided by the ideal MHD description for several one-dimensional plasma flow problems including a classic shock tube problem, the Brio-Wu MHD test case, and a modified Brio-Wu test case. The numerical results and limitations of the model are discussed along with future directions for this line of research.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.738
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.027
GPT teacher head0.338
Teacher spread0.311 · 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 designSimulation or modeling
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

Citations0
Published2004
Admission routes1
Has abstractyes

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