The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Highly Emissive Nano Rod-in-Rod Heterostructures with Strong Linear Polarization
Abstract
We report the synthesis of CdSe/CdS rod in rod core/shell heterostructures. These rods, synthesized using a seeded-growth approach, show narrow distributions of rod diameters and lengths and exhibit high emission quantum efficiencies and highly polarized emission. The degree of polarization is controlled by the inner core rod dimensions, and it is equal or up to 1.5 times higher than the polarization of equivalent sphere in rod systems. Using the method of photoselection we measure the polarization anisotropy at different excitation wavelengths and study the interplay between electronic contribution and dielectric effects in determining the absorption and emission polarization.
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
Shape control of CdSe nanocrystals
Peng, X., Manna, L., Yang, W., Wickham, J., Scher, E., Kadavanich, A., & Alivisatos, A. P. (2000) · Nature · doi:10.1038/35003535 · Cited by 4,487
Cited by
Cheng, L., Xiang, Q., Liao, Y., & Zhang, H. (2018) · Energy & Environmental Science · doi:10.1039/c7ee03640j · Cited by 1,733
Spectroscopic and Device Aspects of Nanocrystal Quantum Dots
Pietryga, J. M., Park, Y.-S., Lim, J., Fidler, A. F., Bae, W. K., Brovelli, S., & Klimov, V. I. (2016) · Chemical Reviews · doi:10.1021/acs.chemrev.6b00169 · Cited by 1,040
Colloidal quantum dot electronics
Liu, M., Yazdani, N., Yarema, M., Jansen, M., Wood, V., & Sargent, E. H. (2021) · Nature Electronics · doi:10.1038/s41928-021-00632-7 · Cited by 448
Nanointerface Chemistry: Lattice-Mismatch-Directed Synthesis and Application of Hybrid Nanocrystals
Liu, J., & Zhang, J. (2020) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00443 · Cited by 423
Self-Assembled Colloidal Superparticles from Nanorods
Wang, T., Zhuang, J., Lynch, J., Chen, O., Wang, Z., Wang, X., LaMontagne, D., Wu, H., Wang, Z., & Cao, Y. C. (2012) · Science · doi:10.1126/science.1224221 · Cited by 375
Metadata
- Authors
- Sitt, A., Salant, A., Menagen, G., & Banin, U.
- Venue
- Nano Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2011-05-11
- Volume
- 11
- Issue
- 5
- Pages
- 2054-2060
- ISSN
- 1530-6984 (ISSN-L)
- 1530-6992
- OpenAlex
- W2042323297
- Cited by
- 228
- References
- 1
- FWCI
- 8.83
- 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.