The DOI matches its Crossref record.
Carbon Nanotube‐Silicon Solar Cells
Abstract
Due to the high cost of silicon photovoltaics there is currently great interest in finding alternative semiconductor materials for light harvesting devices. Single‐walled carbon nanotubes are an allotrope of carbon with unique electrical and optical properties and are promising as future photovoltaic materials. It is thus important to investigate the methods of exploiting their properties in photovoltaic devices. In addition to already extensive research using carbon nanotubes in organic photovoltaics and photoelectrochemical cells, another way to do this is to combine them with a relatively well understood model semiconductor such as silicon. Nanotube‐silicon heterojunction solar cells are a recent photovoltaic architecture with demonstrated power conversion efficiencies of up to ∼14% that may in part exploit the photoactivity of carbon nanotubes.
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
Cited by
Applications of Phosphorene and Black Phosphorus in Energy Conversion and Storage Devices
Pang, J., Bachmatiuk, A., Yin, Y., Trzebicka, B., Zhao, L., Fu, L., Mendes, R. G., Gemming, T., Liu, Z., & Rummeli, M. H. (2018) · Advanced Energy Materials · doi:10.1002/aenm.201702093 · Cited by 518
Phosphorene and Phosphorene‐Based Materials – Prospects for Future Applications
Batmunkh, M., Bat‐Erdene, M., & Shapter, J. G. (2016) · Advanced Materials · doi:10.1002/adma.201602254 · Cited by 494
Self-citationColloidal Antireflection Coating Improves Graphene–Silicon Solar Cells
Shi, E., Li, H., Yang, L., Zhang, L., Li, Z., Li, P., Shang, Y., Wu, S., Li, X., Wei, J., et al. (2013) · Nano Letters · doi:10.1021/nl400353f · Cited by 334
Metadata
- Authors
- Tune, D. D., Flavel, B. S., Krupke, R., & Shapter, J. G.
- Venue
- Advanced Energy Materials
- Publisher
- Wiley
- Published
- 2012-06-18
- Volume
- 2
- Issue
- 9
- Pages
- 1043-1055
- ISSN
- 1614-6832 (ISSN-L)
- 1614-6840
- OpenAlex
- W2119624506
- Cited by
- 161
- References
- 0
- FWCI
- 11.39
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Carbon Nanotube‐Silicon Solar Cells. https://app.cochat.ai/papers/10.1002/aenm.201200249
- The paper
- Tune, D. D., Flavel, B. S., Krupke, R., & Shapter, J. G. (2012). Carbon Nanotube‐Silicon Solar Cells. Advanced Energy Materials. https://doi.org/10.1002/aenm.201200249
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.