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Record W4381613416 · doi:10.1088/2516-1075/ace0a9

On validity and limits of deducing the degree of charge transfer from shifts of cyano vibrations

2023· article· en· W4381613416 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueElectronic Structure · 2023
Typearticle
Languageen
FieldEngineering
TopicOrganic Electronics and Photovoltaics
Canadian institutionsConcordia UniversityInstitut National de la Recherche Scientifique
FundersFonds de recherche du Québec – Nature et technologiesNatural Sciences and Engineering Research Council of Canada
KeywordsDopantCharge (physics)VibrationIntermolecular forceDopingMoleculeSemiconductorChemical physicsMolecular vibrationState (computer science)Computational chemistryOrganic semiconductorChemistryMaterials scienceAtomic physicsPhysicsQuantum mechanicsComputer scienceAlgorithm

Abstract

fetched live from OpenAlex

Abstract Understanding the p-doping of organic semiconductors often relies on spectroscopic fingerprints of cyano vibrations, which strongly depend on the charge state of the dopant molecule following intermolecular charge transfer. Interpreting these vibrations can be difficult as a number of other factors can impact them. Here, we formalize the assumptions behind the determination of molecular charge from cyano vibrations and we use computational modeling to demonstrate key obfuscating factors in this process. We notably demonstrate that cyano vibrations do not necessarily shift linearly with the molecular charge and investigate which molecular parameters can explain that. Finally, we provide guidelines for the study of charge transfers involving new molecular dopants based on their cyano vibrations.

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 score0.008
Threshold uncertainty score0.397

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 head0.020
GPT teacher head0.216
Teacher spread0.196 · 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