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Record W1598042285 · doi:10.1002/9783527610709.ch2

The Lagrangian Approach to Chemistry

2007· other· en· W1598042285 on OpenAlexaff
Richard F. W. Bader

Bibliographic record

Venuenot available
Typeother
Languageen
FieldChemistry
TopicHistory and advancements in chemistry
Canadian institutionsMcMaster University
Fundersnot available
KeywordsAction (physics)LagrangianSchrödinger's catPrinciple of least actionLaplace operatorFeynman diagramSchrödinger equationStability (learning theory)PhysicsAtom (system on chip)Mathematical physicsQuantum mechanicsMathematicsClassical mechanicsComputer science

Abstract

fetched live from OpenAlex

This chapter contains sections titled: Introduction From Observation, to Physics, to QTAIM The Lagrangian Approach What is The Lagrangian Approach and What Does it Do? The Lagrangian and the Action Principle – A Return to the Beginnings Minimization of the Action Steps in Minimizing the Action The Action Principle in Quantum Mechanics Schrödinger's Appeal to the Action Schrödinger's Minimization Two Ways of Expressing the Kinetic Energy Obtaining an Atom from Schrödinger's Variation The Role of Laplacian in the Definition of an Atom Getting Chemistry from δG(Ψ,∇Ψ,Ω) From Schrödinger to Schwinger From Dirac to Feynman and Schwinger From Schwinger to an Atom in a Molecule Molecular Structure and Structural Stability Definition of Molecular Structure Prediction of Structural Stability Reflections and the Future Reflections The Future References

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.028
Threshold uncertainty score1.000

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0290.001

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 head0.011
GPT teacher head0.245
Teacher spread0.233 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations10
Published2007
Admission routes1
Has abstractyes

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