Evidence map›Paper›PMID 39470836›Full record

ArticleJournal of molecular modeling2024

Understanding and simulating mechanochromism in dye-dispersed polymer blends: from atomistic insights to macroscopic properties.

Qinfan Wang, Alistar Ottochian, Michele Turelli, Andrea Pucci, Ilaria Ciofini, Carlo Adamo

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Article in Journal of molecular modeling, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Qinfan WangTheoretical Chemistry and Modeling Team, Chimie ParisTech, PSL University, CNRS, Institute of Chemistry for Life and Health Sciences UMR 8060, 75005, Paris, France.
Alistar OttochianTheoretical Chemistry and Modeling Team, Chimie ParisTech, PSL University, CNRS, Institute of Chemistry for Life and Health Sciences UMR 8060, 75005, Paris, France.
Michele TurelliTheoretical Chemistry and Modeling Team, Chimie ParisTech, PSL University, CNRS, Institute of Chemistry for Life and Health Sciences UMR 8060, 75005, Paris, France.
Andrea PucciDipartimento Di Chimica e Chimica Industriale, Università di Pisa, Via Moruzzi 13, 56124, Pisa, Italy.
Ilaria CiofiniTheoretical Chemistry and Modeling Team, Chimie ParisTech, PSL University, CNRS, Institute of Chemistry for Life and Health Sciences UMR 8060, 75005, Paris, France.
Carlo AdamoTheoretical Chemistry and Modeling Team, Chimie ParisTech, PSL University, CNRS, Institute of Chemistry for Life and Health Sciences UMR 8060, 75005, Paris, France. carlo.adamo@chimieparistech.psl.eu.

Funding

European Research Council 101097351Grand Équipement National De Calcul Intensif A0150810135
6 · The paper itself

Abstract

contextIn this work, we propose a computational protocol enabling the simulation of mechanochromic responses in dye-dispersed polymer blends. The main objective is the modeling of the molecular-level structural changes responsible for the modulation of the photophysical properties that lead to the mechanochromic phenomenon. In this demonstrative study, we focus on predicting the changes in optical absorption displayed by a model system consisting of a dimer of a tetraphenylethylene derivative dispersed in a polyethylene matrix. The blend is subjected to an external stimulus that causes a modulation of the polymer matrix density that translates, in turn, into the emergence of specific mechanical constraints on the optically active dimers. The accurate description of this phenomenon requires the reliable sampling of the dimer configurations induced by the interaction with the matrix under stress. These molecular geometries are associated with modified electronic structures that confer novel absorption responses to the dispersed dyes.

methodsIn the present contribution, the sampling of these structures is achieved through classical molecular dynamics (MD) simulations including a model element to apply an anisotropic mechanical force. This element allows the microscopic modeling of the chains' and dyes' structural rearrangements under stress. After the sampling, we compare the results of two approaches for the prediction of the optical response: (i) the calculation of a mean response from a statistical average over quantum chemical calculations on the sampled MD structures and (ii) a prediction via a more expensive hybrid scheme allowing the relaxation of the sampled molecular geometries in the presence of the matrix constraints.

Indexed as

Dye-dispersed polymer blendsMechanochromic responsesMolecular dynamics

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.