The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Well-Ordered Microdomain Structures in Polydisperse Poly(styrene)−Poly(acrylic acid) Diblock Copolymers from Controlled Radical Polymerization
Abstract
To investigate whether diblock copolymers with substantial distributions of molecular weight and composition can self-assemble into highly regular microdomain structures, we examine the morphologies of polystyrene- b -poly(acrylic acid), diblock copolymers (PS−PAA) synthesized by controlled radical polymerization in emulsion. Despite diblock polydispersity indices of ca. 2, solvent-cast films of these diblocks, as well as their blends with PS homopolymer of low molecular weight, exhibit well-ordered lamellar or hexagonally packed cylindrical morphologies in the midrange of composition, as shown by small-angle X-ray scattering and transmission electron microscopy. In several specimens, well-ordered regions of lamellae and cylinders appear to coexist. Films of very asymmetric diblocks or blends exhibit spherical microdomains without lattice order.
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.
Integrity signals
Registry
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.
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
Cites
The Physics of Block Copolymers
Hamley, I. W. (1998) · doi:10.1093/oso/9780198502180.001.0001 · Cited by 1,913
Cited by
Directing the self-assembly of block copolymers
Darling, S. B. (2007) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2007.05.004 · Cited by 1,019
Polydispersity and block copolymer self-assembly
Lynd, N. A., Meuler, A. J., & Hillmyer, M. A. (2008) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2008.07.003 · Cited by 485
Polymeric Surfactants: Synthesis, Properties, and Links to Applications
Raffa, P., Wever, D. A. Z., Picchioni, F., & Broekhuis, A. A. (2015) · Chemical Reviews · doi:10.1021/cr500129h · Cited by 389
Influence of Polydispersity on the Self-Assembly of Diblock Copolymers
Lynd, N. A., & Hillmyer, M. A. (2005) · Macromolecules · doi:10.1021/ma051025r · Cited by 309
New polymeric architectures with (meth)acrylic acid segments
Mori, H., & Müller, A. H. E. (2003) · Progress in Polymer Science · doi:10.1016/s0079-6700(03)00076-5 · Cited by 277
Metadata
- Authors
- Bendejacq, D., Ponsinet, V., Joanicot, M., Loo, Y.-L., & Register, R. A.
- Venue
- Macromolecules
- Publisher
- American Chemical Society (ACS)
- Published
- 2002-07-10
- Volume
- 35
- Issue
- 17
- Pages
- 6645-6649
- ISSN
- 0024-9297 (ISSN-L)
- 1520-5835
- OpenAlex
- W2048419315
- Cited by
- 160
- References
- 1
- FWCI
- 4.91
- 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.