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Record W4231464368 · doi:10.26434/chemrxiv.12728384.v1

Diboron- and Diaza-Doped Anthracenes and Phenanthrenes: Their Electronic Structures for Being Singlet Fission Chromophores

2020· preprint· en· W4231464368 on OpenAlexafffund
Ekadashi Pradhan, Tao Zeng

Bibliographic record

VenueChemRxiv · 2020
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicAdvanced Chemical Physics Studies
Canadian institutionsYork University
FundersNatural Sciences and Engineering Research Council of CanadaWestern Canada Research GridRheinische Friedrich-Wilhelms-Universität BonnCompute CanadaYork UniversityIowa State University
KeywordsChromophoreExcited stateSinglet fissionChemistrySinglet stateAtomic orbitalHOMO/LUMOMolecular orbitalDensity functional theoryElectronic structureAtomic physicsPhotochemistryMolecular physicsComputational chemistryPhysicsElectronQuantum mechanicsMoleculeOrganic chemistry

Abstract

fetched live from OpenAlex

We used quantum chemistry methods at the levels of mixed-reference spin-flipping time-dependent density functional theory and multireference perturbation theory to study diboron- and diaza-doped anthracenes and phenanthrenes. This class of structures recently surged as potential singlet fission chromophores. We studied electronic structures of their excited states and clarify the reasons why they satisfy or fail to satisfy the energy criteria for singlet fission chromophores. Many studied structures have their S 1 states not dominated by HOMO->LUMO excitation, so that they cannot be described using the conventional two sites model. This is attributed to frontier orbital energy shifts induced by the doping and different charge transfer energies in different one-electron singlet excitations, or in other words different polarizations of hole and/or particle orbitals in their S 1 and T 1 states. There is a mirror relation between the orbital energy shifts induced by diboron- and diaza-dopings, which, together with alternant hydrocarbon pairings of occupied and unoccupied orbitals, leads to more mirror relations between the excited states' electronic structures of the two types of doped structures.

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)
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 score0.584
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.015
GPT teacher head0.265
Teacher spread0.250 · 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

Citations6
Published2020
Admission routes2
Has abstractyes

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