The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Effect of Molecular Weight on the Mechanical and Electrical Properties of Block Copolymer Electrolytes
Abstract
The relationship between ionic conductivity, morphology, and rheological properties of polystyrene- block -poly(ethylene oxide) copolymers (SEO) doped with a lithium salt, Li[N(SO 2 CF 3 ) 2 ], is elucidated. We focus on lamellar samples with poly(ethylene oxide) (PEO) volume fractions, φ, ranging from 0.38 to 0.55, and PEO block molecular weights, M PEO, ranging from 16 to 98 kg/mol. The low-frequency storage modulus ( G ‘) at 90 °C increases with increasing M PEO from about 4 × 10 5 to 5 × 10 7 Pa. Surprisingly, the conductivity of the SEO/salt mixtures with the molar ratio of Li to ethylene oxide moieties of 0.02 σ, also increases with increasing M PEO, from 6.2 × 10 -5 to 3.6 × 10 -4 S/cm at 90 °C. We compare σ with the conductivity of pure PEO/salt mixtures, σ PEO, and find that σ/[φσ PEO ] of our highest molecular weight sample is close to 0.67, the theoretical upper limit for transport through randomly oriented lamellar grains.
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
Fetters, L. J., Lohse, D. J., Richter, D., Witten, T. A., & Zirkel, A. (1994) · Macromolecules · doi:10.1021/ma00095a001 · Cited by 1,999
Cited by
Reviving the lithium metal anode for high-energy batteries
Lin, D., Liu, Y., & Cui, Y. (2017) · Nature Nanotechnology · doi:10.1038/nnano.2017.16 · Cited by 6,763
Hallinan, D. T., & Balsara, N. P. (2013) · Annual Review of Materials Research · doi:10.1146/annurev-matsci-071312-121705 · Cited by 853
Self-citation50th Anniversary Perspective: Block Polymers—Pure Potential
Bates, C. M., & Bates, F. S. (2017) · Macromolecules · doi:10.1021/acs.macromol.6b02355 · Cited by 788
Perspectives for Polymer Electrolytes: A View from Fundamentals of Ionic Conductivity
Bocharova, V., & Sokolov, A. P. (2020) · Macromolecules · doi:10.1021/acs.macromol.9b02742 · Cited by 499
Stone, G. M., Mullin, S. A., Teran, A. A., Hallinan, D. T., Minor, A. M., Hexemer, A., & Balsara, N. P. (2012) · Journal of The Electrochemical Society · doi:10.1149/2.030203jes · Cited by 438
Self-citation
Metadata
- Authors
- Singh, M., Odusanya, O., Wilmes, G. M., Eitouni, H. B., Gomez, E. D., Patel, A. J., Chen, V. L., Park, M. J., Fragouli, P., Iatrou, H., Hadjichristidis, N., Cookson, D., & Balsara, N. P.
- Venue
- Macromolecules
- Publisher
- American Chemical Society (ACS)
- Published
- 2007-05-25
- Volume
- 40
- Issue
- 13
- Pages
- 4578-4585
- ISSN
- 0024-9297 (ISSN-L)
- 1520-5835
- OpenAlex
- W2082866588
- Cited by
- 511
- References
- 1
- FWCI
- 9.45
- 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.