Evidence map›Paper›PMID 35567080›Full record

ReviewPolymers2022

Hybrid Time-Dependent Ginzburg-Landau Simulations of Block Copolymer Nanocomposites: Nanoparticle Anisotropy.

Javier Diaz, Marco Pinna, Andrei V Zvelindovsky, Ignacio Pagonabarraga

Abstract readReview
In one paragraph

Review in Polymers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

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

4 authors.

Javier DiazCECAM, Centre Européen de Calcul Atomique et Moléculaire, EPFL, École Polytechnique Fédérale de Lausanne, Batochime-Avenue Forel 2, 1015 Lausanne, Switzerland.ORCID 0000-0002-7266-8259
Marco PinnaCentre for Computational Physics, University of Lincoln, Brayford Pool, Lincoln LN6 7TS, UK.ORCID 0000-0002-8661-1667
Andrei V ZvelindovskyCentre for Computational Physics, University of Lincoln, Brayford Pool, Lincoln LN6 7TS, UK.ORCID 0000-0003-4464-3254
Ignacio PagonabarragaCECAM, Centre Européen de Calcul Atomique et Moléculaire, EPFL, École Polytechnique Fédérale de Lausanne, Batochime-Avenue Forel 2, 1015 Lausanne, Switzerland.ORCID 0000-0002-6187-5025

Funding

Departament d'Universitats, Recerca i Societat de la Informació 2017 SGR 884European Commission 760907Ministry of Economy, Industry and Competitiveness PGC2018-098373-B-100Swiss National Science Foundation 200021-175719
6 · The paper itself

Abstract

Block copolymer melts are perfect candidates to template the position of colloidal nanoparticles in the nanoscale, on top of their well-known suitability for lithography applications. This is due to their ability to self-assemble into periodic ordered structures, in which nanoparticles can segregate depending on the polymer-particle interactions, size and shape. The resulting coassembled structure can be highly ordered as a combination of both the polymeric and colloidal properties. The time-dependent Ginzburg-Landau model for the block copolymer was combined with Brownian dynamics for nanoparticles, resulting in an efficient mesoscopic model to study the complex behaviour of block copolymer nanocomposites. This review covers recent developments of the time-dependent Ginzburg-Landau/Brownian dynamics scheme. This includes efforts to parallelise the numerical scheme and applications of the model. The validity of the model is studied by comparing simulation and experimental results for isotropic nanoparticles. Extensions to simulate nonspherical and inhomogeneous nanoparticles are discussed and simulation results are discussed. The time-dependent Ginzburg-Landau/Brownian dynamics scheme is shown to be a flexible method which can account for the relatively large system sizes required to study block copolymer nanocomposite systems, while being easily extensible to simulate nonspherical nanoparticles.

Indexed as

block copolymercolloidcomputer simulationhybrid materialnanocompositenanoparticlenanorodpolymersoft matter

Identifiers

PMID35567080
PMCPMC9103753

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.