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Record W1998587946 · doi:10.1103/physrevb.80.125423

Effects of dephasing in molecular transport junctions using atomistic first principles

2009· article· en· W1998587946 on OpenAlexaff
Jesse Maassen, Ferdows Zahid, Guo Hong

Bibliographic record

VenuePhysical Review B · 2009
Typearticle
Languageen
FieldEngineering
TopicMolecular Junctions and Nanostructures
Canadian institutionsMcGill University
Fundersnot available
KeywordsDephasingCondensed matter physicsThermal conductionWeak localizationPhysicsScatteringNon-equilibrium thermodynamicsMaterials scienceQuantum mechanicsMagnetoresistance

Abstract

fetched live from OpenAlex

We report a theoretical investigation of dephasing effects to quantum transport properties of molecular junctions. The quantum transport analysis is done by density functional theory carried out within the nonequilibrium Green's function framework, and the dephasing effect is modeled within the B\"uttiker-probe approach. We observe two distinct behaviors in the three systems we studied: either an increase or a decrease in electronic conduction with dephasing. For a 1,4-benzenedithiol molecule and an atomic gold chain, where the conducting molecular levels are located away from the Fermi level, conduction is seen to increase due to reduced destructive interference resulting from the B\"uttiker probe. On the other hand, for a very thin Al nanowire we find that backscattering dominates over the phase-randomization and the current decreases with dephasing. The resistance follows Ohm's law while the resistivity scales linearly with the scattering rate. Finally, a comparison between the B\"uttiker-probe model and a more microscopic dephasing model shows nearly identical transport characteristics. From a computational point of view, the B\"uttiker-probe model has an order of magnitude speed up.

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 score0.254
Threshold uncertainty score0.432

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 head0.008
GPT teacher head0.245
Teacher spread0.237 · 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

Citations61
Published2009
Admission routes1
Has abstractyes

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