The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Perovskite‐Based Tandem Solar Cells: Get the Most Out of the Sun
Abstract
Tandem solar cells (TSCs) comprising stacked narrow‐bandgap and wide‐bandgap subcells are regarded as the most promising approach to break the Shockley–Queisser limit of single‐junction solar cells. As the game‐changer in the photovoltaic community, organic–inorganic hybrid perovskites became the front‐runner candidate for mating with other efficient photovoltaic technologies in the tandem configuration for higher power conversion efficiency, by virtue of their tunable and complementary bandgaps, excellent photoelectric properties, and solution processability. In this review, a perspective that critically dilates the progress of perovskite material selection and device design for perovskite‐based TSCs, including perovskite/silicon, perovskite/copper indium gallium selenide, perovskite/perovskite, perovskite/CdTe, and perovskite/GaAs are presented. Besides, all‐inorganic perovskite CsPbI 3 with high thermal stability is proposed as the top subcell in TSCs due to its suitable bandgap of ≈1.73 eV and rapidly increasing efficiency. To minimize the optical and electrical losses for high‐efficiency TSCs, the optimization of transparent electrodes, recombination layers, and the current‐matching principles are highlighted. Through big data analysis, wide‐bandgap perovskite solar cells with high open‐circuit voltage (Voc) are in dire need in further study. In the end, opportunities and challenges to realize the commercialization of TSCs, including long‐term stability, area upscaling, and mitigation of toxicity, are also envisioned.
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
SARS-CoV-2 proteome microarray for global profiling of COVID-19 specific IgG and IgM responses
Jiang, H.-W., Li, Y., Zhang, H.-N., Wang, W., Yang, X., Qi, H., Li, H., Men, D., Zhou, J., & Tao, S.-C. (2020) · Nature Communications · doi:10.1038/s41467-020-17488-8 · Cited by 329
Cited by
Rationalization of passivation strategies toward high-performance perovskite solar cells
Zhang, Z., Qiao, L., Meng, K., Long, R., Chen, G., & Gao, P. (2023) · Chemical Society Reviews · doi:10.1039/d2cs00217e · Cited by 357
Self-citation
Metadata
- Authors
- Zhang, Z., Li, Z., Meng, L., Lien, S., & Gao, P.
- Venue
- Advanced Functional Materials
- Publisher
- Wiley
- Published
- 2020-07-16
- Volume
- 30
- Issue
- 38
- ISSN
- 1616-301X (ISSN-L)
- 1616-3028
- OpenAlex
- W3042642175
- Cited by
- 165
- References
- 1
- FWCI
- 7.43
- 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: Perovskite‐Based Tandem Solar Cells: Get the Most Out of the Sun. https://app.cochat.ai/papers/10.1002/adfm.202001904
- The paper
- Zhang, Z., Li, Z., Meng, L., Lien, S., & Gao, P. (2020). Perovskite‐Based Tandem Solar Cells: Get the Most Out of the Sun. Advanced Functional Materials. https://doi.org/10.1002/adfm.202001904
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.