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Simple generic picture of tensile toughness in solid polymer blends

2023· article· en· W4388424658 on OpenAlexafffund
Debashish Mukherji, Shubham Agarwal, Tiago E. de Oliveira, Céline Ruscher, Jörg Rottler

Bibliographic record

VenuePhysical Review Materials · 2023
Typearticle
Languageen
FieldPhysics and Astronomy
TopicForce Microscopy Techniques and Applications
Canadian institutionsUniversity of British Columbia
FundersCanada First Research Excellence Fund
KeywordsMaterials scienceToughnessBrittlenessUltimate tensile strengthPolymerOmegaSimple (philosophy)Composite materialPhysicsQuantum mechanics

Abstract

fetched live from OpenAlex

The tensile toughness $\mathcal{T}$ of a brittle polymeric solid can be enhanced by blending a ductile polymer. While this common wisdom is generally valid, a generic picture is lacking that connects the microscopic details to the macroscopic nonlinear mechanics. Using all-atom and complementary generic simulations, we show how a delicate correlation between the side group contact density of the brittle polymers ${\ensuremath{\rho}}_{\mathrm{c}}$ and its dilution upon adding a second component controls $\mathcal{T}$. A set of chemically distinct systems follows a generic trend in $\mathcal{T}$ with $d{\ensuremath{\rho}}_{\mathrm{c}}/d\ensuremath{\varepsilon}$, where $\ensuremath{\varepsilon}$ is the tensile strain. The observed trend is explained using a simple mechanical model based on the parallel spring analogy.

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 score0.008
Threshold uncertainty score0.686

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)0.0010.000

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 head0.017
GPT teacher head0.345
Teacher spread0.329 · 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

Citations1
Published2023
Admission routes2
Has abstractyes

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