MétaCan
Menu
Back to cohort
Record W1983774107 · doi:10.1063/1.3475927

Interface effects in thermal conduction through molecular junctions: Numerical simulations

2010· article· en· W1983774107 on OpenAlexaff
Yun Zhou, Dvira Segal

Bibliographic record

VenueThe Journal of Chemical Physics · 2010
Typearticle
Languageen
FieldMaterials Science
TopicThermal properties of materials
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAnharmonicityThermal conductionMolecular dynamicsPhononThermalMolecular physicsInterfacingHarmonicConductanceMoleculeThermal conductivityMaterials scienceChemical physicsCondensed matter physicsChemistryPhysicsThermodynamicsComputational chemistryQuantum mechanicsComputer science

Abstract

fetched live from OpenAlex

Thermal conductance in solid-molecule-solid junctions is studied within Langevin-type classical molecular dynamics simulations. The solids attached at the two ends, characterized by phonon bands mismatching the molecular vibrational window, are simulated using colored thermal noises with analytic correlation functions. We find that the dissimilarity in the vibrational spectra of the molecule and the interfacing materials crucially controls both the magnitude and the chain-length dependence of the heat current considering both harmonic and anharmonic molecules. By using reservoirs with distinct spectral functions, we also demonstrate that one can optimize the thermal rectifying (diodelike) properties of the junction.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.268
Teacher spread0.253 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations10
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Chemical PhysicsSame topicThermal properties of materialsFrench-language works237,207