MétaCan
Menu
Back to cohort
Record W2073818494 · doi:10.1103/physreve.66.036701

Numerical simulation of blow-up solutions of the vector nonlinear Schrödinger equation

2002· article· en· W2073818494 on OpenAlexafffund
James T. Coleman, Catherine Sulem

Bibliographic record

VenuePhysical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · 2002
Typearticle
Languageen
FieldMathematics
TopicAdvanced Mathematical Physics Problems
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPhysicsNonlinear systemNonlinear Schrödinger equationLimit (mathematics)Dispersion (optics)Classical mechanicsSchrödinger equationMathematical analysisNumerical analysisGridMathematicsQuantum mechanicsGeometry

Abstract

fetched live from OpenAlex

We present numerical simulations of blow-up solutions of the vector nonlinear Schrödinger equation, which arises as the subsonic limit of the vectorial Zakharov system in plasma physics. In the course of our calculations, we observed the phenomenon of splitting of the solution profile. To capture the structure of the solution, we developed a new dynamic mesh refinement method based on the iterative grid distribution method introduced by Ren and Wang [J. Comput. Phys. 159, 246 (2000)]. We also applied this method to study the time dispersion nonlinear Schrödinger equation that describes the propagation of ultrashort pulses in a dispersive medium.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.059
GPT teacher head0.359
Teacher spread0.300 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations6
Published2002
Admission routes2
Has abstractyes

Explore more

Same venuePhysical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topicsSame topicAdvanced Mathematical Physics ProblemsFrench-language works237,207