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Record W4396573819 · doi:10.1021/acs.macromol.4c00196

Efficient Modeling of High-Generation Dendrimers in Solution Using Dynamical Self-Consistent Field Theory

2024· article· en· W4396573819 on OpenAlexafffund
Benjamin Morling, Sylvia Luyben, John Dutcher, Robert A. Wickham

Bibliographic record

VenueMacromolecules · 2024
Typearticle
Languageen
FieldMaterials Science
TopicDendrimers and Hyperbranched Polymers
Canadian institutionsUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsDendrimerSelf consistentField (mathematics)Field theory (psychology)Statistical physicsMaterials scienceChemistryChemical physicsPhysicsPolymer chemistryQuantum electrodynamicsMathematicsMathematical physics

Abstract

fetched live from OpenAlex

We extend dynamical self-consistent field theory (dSCFT) to large, nonlinear polymer chains to simulate the evolution of high-generation dendrimers in a solvent. Because the number of beads N within these bead–spring dendrimers is very large, we introduce a numerical technique to efficiently analyze the Rouse modes of the dendrimer through a decomposition of the dendrimer into many smaller subchains, achieving a significant improvement, from O ( N 2 ) to O ( N ), in the scaling of the simulation time for the Rouse motion of the dendrimer. By adjusting the strength of the interaction between dendrimer and solvent beads, we obtain qualitative and quantitative agreement with the core-chain morphology, 22 nm radius, and high degree of hydration measured experimentally using small-angle neutron scattering for 11-generation, glucose-based phytoglycogen dendrimers in water, validating dSCFT in this context.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.609
Threshold uncertainty score0.445

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 head0.018
GPT teacher head0.254
Teacher spread0.236 · 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

Citations2
Published2024
Admission routes2
Has abstractyes

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