Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 207

The DOI matches its Crossref record.

Cylinder Orientation Mechanism in Block Copolymer Thin Films Upon Solvent Evaporation

Phillip, William A., Hillmyer, Marc A., Cussler, E. L.·2010·Macromolecules

Abstract

Ultrafiltration membranes based on cylinder-forming block copolymers are made by orienting the cylinders perpendicular to the membrane surface followed by selective etching of the minority component. Such membranes promise fast fluxes and superior molecular weight cut-offs. The perpendicular orientation of the cylindrical domains results from the solvent concentration profile that develops when drying the polymer casting solution. As solvent evaporates, it first causes nucleation of the ordered morphology at the vapor−solution interface. This is followed by cylinder growth. The rate of cylinder growth is the product of two terms—a polymer relaxation rate and a thermodynamic driving force. In regions of high solvent concentration the polymer relaxation rate is high and the driving force is small; in regions of low solvent concentration, the opposite is true. This concentration dependence results in the solvent concentration profile established by evaporation dictating how the growth rate varies as a function of position. For a concentration profile that causes the relaxation rate to increase less rapidly with position than the driving force decreases, the growth rate decreases moving into the film, so cylinders grow parallel to membrane surface. Conversely, when the concentration profile results in the relaxation rate increasing more rapidly with position than the driving force decreases, the growth rate increases further into the film, causing perpendicularly oriented cylinders to form. Analysis based on this picture agrees with a variety of experimental results.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/ma1012946

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

Metadata

Authors
Phillip, W. A., Hillmyer, M. A., & Cussler, E. L.
Venue
Macromolecules
Published
2010-08-23
Volume
43
Issue
18
Pages
7763-7770
ISSN
  • 0024-9297 (ISSN-L)
  • 1520-5835
OpenAlex
W2012843602
Cited by
207
References
0
FWCI
7.41
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.