The DOI matches its Crossref record.
Band-like transport in small-molecule thin films toward high mobility and ultrahigh detectivity phototransistor arrays
Open accessAbstract
With the fast development of organic electronics, organic semiconductors have been extensively studied for various optoelectronic applications, among which organic phototransistors recently emerged as one of the most promising light signal detectors. However, it is still a big challenge to endow organic phototransistors with both high mobility and high light-sensitivity because the low mobility of most organic photoresponsive materials limits the efficiency of transporting and collecting charge carriers. We herein report band-like charge transport in vacuum-deposited small-molecule thin films for organic phototransistor arrays which can be operated at very low dark currents (~10−12 A). Both high mobility and excellent optical figures of merit including photosensitivity, photoresponsivity and detectivity are achieved, wherein, unprecedentedly, a detectivity greater than 10 17 cm Hz 1/2 W−1 is obtained. All these key parameters are superior to state-of-the-art organic phototransistors, implying a great potential in optoelectronic applications.
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
Zhang, Y., Wang, Y., Gao, C., Ni, Z., Zhang, X., Hu, W., & Dong, H. (2023) · Chemical Society Reviews · doi:10.1039/d2cs00720g · Cited by 293
Self-citationXu, X., Deng, W., Zhang, X., Huang, L., Wang, W., Jia, R., Wu, D., Zhang, X., Jie, J., & Lee, S.-T. (2019) · ACS Nano · doi:10.1021/acsnano.9b01734 · Cited by 98
Metadata
- Authors
- Ji, D., Li, T., Liu, J., Amirjalayer, S., Zhong, M., Zhang, Z.-Y., Huang, X., Wei, Z., Dong, H., Hu, W., & Fuchs, H.
- Venue
- Nature Communications
- Published
- 2019-01-02
- Volume
- 10
- Issue
- 1
- Pages
- 12-12
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2907469128
- Cited by
- 245
- References
- 0
- FWCI
- 10.07
- Type
- journal article
- Language
- en
- Open access
- gold
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: Band-like transport in small-molecule thin films toward high mobility and ultrahigh detectivity phototransistor arrays. https://app.cochat.ai/papers/10.1038/s41467-018-07943-y
- The paper
- Ji, D., Li, T., Liu, J., Amirjalayer, S., Zhong, M., Zhang, Z.-Y., Huang, X., Wei, Z., Dong, H., Hu, W., & Fuchs, H. (2019). Band-like transport in small-molecule thin films toward high mobility and ultrahigh detectivity phototransistor arrays. Nature Communications. https://doi.org/10.1038/s41467-018-07943-y
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.