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Record W2318218971 · doi:10.1021/jp105589y

Calculations of Electron Transport through Simple π- and σ-Type Radicals

2010· article· en· W2318218971 on OpenAlexaff
Manuel Smeu, Gino A. DiLabio

Bibliographic record

VenueThe Journal of Physical Chemistry C · 2010
Typearticle
Languageen
FieldEngineering
TopicMolecular Junctions and Nanostructures
Canadian institutionsMcGill UniversityNational Institute for NanotechnologyUniversity of Alberta
Fundersnot available
KeywordsRadicalSimple (philosophy)ElectronType (biology)Materials scienceChemistryPhysicsNuclear physicsGeologyEpistemologyPhilosophyOrganic chemistry

Abstract

fetched live from OpenAlex

Organic radicals are of interest in molecular electronics because unpaired electrons lead to degeneracy splitting in other energy levels and such molecules may act as spin filters. This work employs first principles transport calculations using a combination of density-functional theory and a nonequilibrium Green’s function technique to model the electron transport properties of 1,4-benzenediamine (BDA) molecules bridging two Au electrodes. These molecules were substituted in the 2-position with −CH 3, −NH 2, and −OH, and also with their radical analogues −CH 2 •, −NH •, and −O •, which have π-type singly occupied molecular orbitals (SOMO). Spin filter efficiency (SFE) values for these radicals vary as 49%, 27%, and 1% for the −CH 2 •, −NH •, and −O • containing systems, respectively. The large difference is due to the electron affinity of each radical. We found that the radical can indeed accept some charge once it is connected to electrodes, thereby reducing the fraction of excess spin which, in turn, reduces the amount of MO level splitting and the SFE. The transport properties of a radical with a σ-type SOMO were also calculated for a BDA molecule with the H atom in the 2-position of the benzene ring removed. A SFE of 34% was calculated for this system, but most importantly we found that a significant amount of electron transport can indeed occur through a σ-type MO.

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 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 score0.005
Threshold uncertainty score0.152

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 head0.004
GPT teacher head0.222
Teacher spread0.219 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations46
Published2010
Admission routes1
Has abstractyes

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