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Record W4296405219 · doi:10.48550/arxiv.2209.07596

From quantum alchemy to Hammett's equation: Covalent bonding from atomic energy partitioning

2022· preprint· en· W4296405219 on OpenAlexaff
Michael J. Sahre, O. Anatole von Lilienfeld, Guido Falk von Rudorff

Bibliographic record

VenuearXiv (Cornell University) · 2022
Typepreprint
Languageen
FieldChemistry
TopicCrystallography and molecular interactions
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsElectronegativityCovalent bondChemistryAtomic physicsAtom (system on chip)Computational chemistryThermodynamicsPhysicsQuantum mechanics

Abstract

fetched live from OpenAlex

Supplementary data for "Quantum Alchemy Based Bonding Trends and Their Link to Hammett’s Equation and Pauling’s Electronegativity Model", https://doi.org/10.1021/jacs.2c13393 Example input files and pseudopotentials to calculate alchemical atomic energies; binding energies, total energies and optimized structures in xyz-format calculated at PBE0/def2-TZVP level and code used to optimize the parameters in the different versions of our model changes compared to the first version: - updated references to Equations in the paper, - added code to optimize parameters for Eq. (7) in the SI

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.529
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.073
GPT teacher head0.207
Teacher spread0.134 · 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 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

Citations0
Published2022
Admission routes1
Has abstractyes

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