MétaCan
Menu
Back to cohort
Record W2770963181 · doi:10.1063/1.5012286

A model platform for rapid, robust, directed, and long-range vibrational energy transport: Insights from a mixed quantum-classical study of a 1D molecular chain

2017· article· en· W2770963181 on OpenAlexaff
Minghao Li, Holly Freedman, David Dell’Angelo, Gabriel Hanna

Bibliographic record

VenueAIP conference proceedings · 2017
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSpectroscopy and Quantum Chemical Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsQuantumExcitationRange (aeronautics)Molecular vibrationChemical physicsChain (unit)Molecular dynamicsWork (physics)ChemistryMolecular physicsMaterials scienceMoleculeComputational chemistryPhysicsThermodynamicsQuantum mechanicsOrganic chemistry

Abstract

fetched live from OpenAlex

The design of devices that efficiently and robustly transport vibrational energy is of importance to applications in molecular electronics and quantum information processing. In this work, we study a 1D model of a molecular chain with repeating carbonyl-containing subunits that exhibits extremely rapid vibrational energy transport between its distal subunits. This model contains two key features: (i) the bare frequencies of the two distal carbonyl groups are equally shifted with respect to those of the remaining groups, and (ii) the carbonyl groups are coupled to a bath of coupled low-frequency harmonic oscillators. Using mixed quantum-classical dynamics, we investigate the effects of bath temperature and chain length on the energy transfer along the chain, following an excitation of a carbonyl mode at one end of the chain. At very low temperatures, we find that no substantial energy transfer takes place; however, over a wide range of higher temperatures, the excitation energy rapidly hops between the two terminal carbonyl groups regardless of the chain length. These findings suggest that such a model could be used as a platform for building devices that are capable of rapid, robust, directed, and long-range vibrational energy transport.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.753
Threshold uncertainty score0.859

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 head0.035
GPT teacher head0.254
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 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

Citations2
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueAIP conference proceedingsSame topicSpectroscopy and Quantum Chemical StudiesFrench-language works237,207