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Record W2171521766 · doi:10.1109/cefc-06.2006.1632902

An Irregular Meshless h-p Adaptive Finite Element Analysis Formulation for High Performance Computing Environments

2006· article· en· W2171521766 on OpenAlexaffabout
Donglin Ma, S. McFee

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicNumerical methods in engineering
Canadian institutionsMcGill University
Fundersnot available
KeywordsSupercomputerFinite element methodCorrectnessDiscretizationBenchmark (surveying)Computer scienceComputational scienceRegularized meshless methodDegrees of freedom (physics and chemistry)Basis functionMeshfree methodsApplied mathematicsElectromagneticsMathematical optimizationAlgorithmParallel computingMathematicsSingular boundary methodMathematical analysisEngineeringStructural engineeringElectronic engineeringPhysics

Abstract

fetched live from OpenAlex

A new meshless finite element analysis formulation is developed and investigated. The approach is based on a hybrid coupling of conventional meshless theory, and the "irregular-cut" finite element technique. The method provides a near orthogonal hierarchal relationship among local basis functions, and supports the virtually unrestricted introduction and refinement of localized modeling degrees of freedom in a discretization. The formulation is naturally suited for high performance computing environments, and has been developed and implemented for h-p adaptive finite element analysis applications in practical electromagnetics, on the CLUMEQ Supercomputer Centre facilities at McGill University. Computational results based on 2-D and 3-D benchmark analyses support the correctness of the formulation, and demonstrate the computational performance and efficiency of the implementation

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.449
Threshold uncertainty score0.750

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 head0.011
GPT teacher head0.236
Teacher spread0.225 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreMethods

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
Published2006
Admission routes2
Has abstractyes

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