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Record W1735883678 · doi:10.1139/cjc-2012-0501

Photoabsorption spectra from time-dependent auxiliary density functional theory

2013· article· en· W1735883678 on OpenAlexvenueno aff
Javier Carmona‐Espíndola, Andreas M. Köster

Bibliographic record

VenueCanadian Journal of Chemistry · 2013
Typearticle
Languageen
FieldChemistry
TopicPhotochemistry and Electron Transfer Studies
Canadian institutionsnot available
FundersUniversidad Autónoma MetropolitanaConsejo Nacional de Ciencia y Tecnología
KeywordsChemistryDensity functional theoryPerturbation theory (quantum mechanics)CoulombSpectral lineExcited stateTime-dependent density functional theoryComputational physicsComputational chemistryStatistical physicsAtomic physicsMolecular physicsQuantum mechanicsPhysicsElectron

Abstract

fetched live from OpenAlex

Time-dependent auxiliary density perturbation theory (TDADPT) is extended to the calculation of excited states. The resulting time-dependent auxiliary density functional theory (TDADFT) is structurally identical to the original formulation of Casida. However, significant simplifications occur for the Coulomb and exchange–correlation response due to the underlying auxiliary density functional theory. Here, we present the working equations for TDADFT and a new implementation. Because this new parallel TDADFT implementation is particularly well suited for the calculation of large numbers of excitations, we validate it by the calculation of photoabsorption spectra. Direct comparison with experiment underlines the accuracy and reliability of TDADFT. For selected peaks of the studied polycyclic aromatic hydrocarbon spectra, the assignments of the underlying excitations are also presented.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
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 science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0420.000

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 head0.006
GPT teacher head0.173
Teacher spread0.166 · 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 designBench or experimental
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

Citations14
Published2013
Admission routes1
Has abstractyes

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