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Record W1979382691 · doi:10.1063/1.1420401

Calculating molecular electric and magnetic properties from time-dependent density functional response theory

2002· article· en· W1979382691 on OpenAlex

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

VenueThe Journal of Chemical Physics · 2002
Typearticle
Languageen
FieldChemistry
TopicMolecular spectroscopy and chirality
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMagnetic dipoleDensity functional theoryDipoleTime-dependent density functional theoryExcitationPhysicsDensity matrixRotation (mathematics)Magnetic momentElectric dipole momentPolarizabilityCondensed matter physicsQuantum electrodynamicsStatistical physicsComputational physicsQuantum mechanicsMoleculeComputer science

Abstract

fetched live from OpenAlex

Simple working equations are presented which allow for the treatment of time-dependent first-order electric and magnetic properties based on the linear response of the Kohn–Sham density matrix. They are generally applicable to existing nonrelativistic molecular density functional code implementations. This extends the formulas for frequency-dependent polarizabilities previously reported by other authors to include the cases of frequency-dependent optical rotation parameters and magnetic susceptibilities. An expression for the magnetic transition dipole moment is extracted from the results. Existing codes for excitation energies and polarizabilities can be easily extended to compute the optical rotation parameter and rotatory strengths. We further discuss possible extensions towards time-dependent current-density response.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.454

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 head0.011
GPT teacher head0.194
Teacher spread0.184 · 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