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Record W2075963313 · doi:10.1063/1.3506859

Self-propelled nanodimer bound state pairs

2010· article· en· W2075963313 on OpenAlexaff
Snigdha Thakur, Raymond Kapral

Bibliographic record

VenueThe Journal of Chemical Physics · 2010
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMicro and Nano Robotics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDimerBound stateCenter of mass (relativistic)Brownian motionPhysicsPhase diagramNon-equilibrium thermodynamicsUpper and lower boundsInteraction energyMonomerMolecular physicsChemical physicsChemistryAtomic physicsClassical mechanicsPhase (matter)Quantum mechanicsMoleculePolymer

Abstract

fetched live from OpenAlex

A pair of chemically powered self-propelled nanodimers can exist in a variety of bound and unbound states after undergoing a collision. In addition to independently moving unbound dimers, bound Brownian dimer pairs, whose center-of-mass exhibits diffusive motion, self-propelled moving dimer pairs with directed motion, and bound rotating dimer pairs, were observed. The bound pairs arise from a solvent depletion interaction, which depends on the nonequilibrium concentration field in the vicinity of dimers. The phase diagram reported in the paper shows regions in monomer interaction energy-diameter plane where these bound and unbound states are found. Particle-based simulations and analytical calculations are used to provide insight into the nature of interaction between dimers that gives rise to the observed bound states.

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)0.000
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.007
GPT teacher head0.218
Teacher spread0.211 · 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

Citations19
Published2010
Admission routes1
Has abstractyes

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