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Record W3014006054 · doi:10.4006/0836-1398-26.3.392

A classical electrodynamic theory of the nucleus

2013· article· en· W3014006054 on OpenAlexvenueno aff
Charles W. Lucas, Eric Baxter, Edward A. Boudreaux, R.A. Rydin

Bibliographic record

VenuePhysics Essays · 2013
Typearticle
Languageen
FieldPhysics and Astronomy
TopicQuantum Mechanics and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsPhysicsNucleonNeutronElectronMAGIC (telescope)ProtonAtomic nucleusMagic number (chemistry)Atomic physicsNuclear physicsClassical mechanicsQuantum mechanics

Abstract

fetched live from OpenAlex

A new phenomenological model of the nucleus has been constructed by separately modeling a proton and a neutron using a classical electromagnetic approach first suggested by Arthur Compton and later elaborated from plasma physics experiments conducted by his student, Winston Bostick. Using these two nucleon representations, different nuclei are arranged by placing neutrons and protons in static geometric positions, where the force balance has minimum energy. These positions have been verified numerically using a variational minimization technique. This suggests that mechanical vibration is a valid physical mechanism for decay. For the first time, the pattern of all the magic number closed nucleon-shells is accurately predicted, and new magic numbers have been found. These numbers have been verified against experimental data. The masses of all individual isotopes that were calculated are in agreement with the measured values within less than a tenth of a percent, thus mimicking the experimentally measured binding energy per nucleon curve. An extension of this idea to model electrons in atoms also predicts the pattern of the Periodic Table of the Elements.

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)0.000
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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.004
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.008
GPT teacher head0.218
Teacher spread0.209 · 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

Citations2
Published2013
Admission routes1
Has abstractyes

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