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Aplicação da equação de Schrödinger ao modelo nuclear de camadas: obtenção dos números mágicos

2024· article· pt· W4403607103 on OpenAlexaff
Mariana Mota Gomes, R. G. G. Amorim, Wytler Cordeiro dos Santos, Vinicius Rispoli, Leandro Xavier Cardoso

Bibliographic record

VenueRevista Brasileira de Ensino de Física · 2024
Typearticle
Languagept
FieldMaterials Science
TopicGraphite, nuclear technology, radiation studies
Canadian institutionsCanadian Quantum Research Center
Fundersnot available
KeywordsPhysics

Abstract

fetched live from OpenAlex

Apresentamos neste trabalho uma abordagem pedagógica da descrição do núcleo atômico a partir do modelo de camadas. A análise proposta está alicerçada na equação de Schrödinger. Neste sentido, analisamos dois sistemas, ambos baseadas na teoria de campo médio, em que as interações nucleares e eletromagnéticas são modeladas por osciladores harmônicos, mas que em um deles a interação entre os spins dos núcleons é considerada. Como resultado, alguns aspectos do núcleo foram explicados, onde merece destaque a obtenção dos números mágicos nucleares. Assim, a abordagem proposta pode ser utilizada em cursos de mecânica quântica, como aplicação da equação de Schrödinger, bem como em disciplinas de física e engenharia nuclear.

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0020.004
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.034
GPT teacher head0.295
Teacher spread0.261 · 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 designTheoretical or conceptual
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
Published2024
Admission routes1
Has abstractyes

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