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Record W1997941750 · doi:10.1021/ct800027e

Calculation of Fukui Functions Without Differentiating to the Number of Electrons. 3. Local Fukui Function and Dual Descriptor

2008· article· en· W1997941750 on OpenAlex
Tim Fievez, Nick Sablon, Frank De Proft, Paul W. Ayers, Paul Geerlings

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Chemical Theory and Computation · 2008
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Chemical Physics Studies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsFukui functionNucleophileReactivity (psychology)RegioselectivityComputational chemistryMoleculeElectronFunction (biology)Dual (grammatical number)Set (abstract data type)Density functional theoryChemistryHybrid functionalComputer sciencePhysicsQuantum mechanicsElectrophileOrganic chemistry

Abstract

fetched live from OpenAlex

An alternative approach for the calculation of DFT-based reactivity descriptors involving derivatives of the energy with respect to the number of electrons and the external potential is further evaluated. Using functional derivatives with respect to the external potential, the finite difference approximation was avoided for the local calculation of the Fukui functions and the dual descriptor. A relevant set of molecules has been calculated after the optimization of computational parameters. It is shown that the new approach correctly predicts the nucleophilic attack on CH2O, the formation of CO metal complexes, the regioselectivity of monosubstituted benzenes, and the softest nucleophilic site in some ambident nucleophiles.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.592
Threshold uncertainty score0.253

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.253
Teacher spread0.243 · 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