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Over 17% efficiency ternary organic solar cells enabled by two non-fullerene acceptors working in an alloy-like model
Abstract
An alloy-like model based on Y6 and its derivative BTP-M is constructed to fabricate ternary organic solar cells, leading to a best efficiency of 17.03%.
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Cited by
Renewed Prospects for Organic Photovoltaics
Zhang, G., Lin, F. R., Qi, F., Heumüller, T., Distler, A., Egelhaaf, H.-J., Li, N., Chow, P. C. Y., Brabec, C. J., Jen, A. K.-Y., et al. (2022) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00955 · Cited by 1,052
Machine learning for high performance organic solar cells: current scenario and future prospects
Mahmood, A., & Wang, J.-L. (2021) · Energy & Environmental Science · doi:10.1039/d0ee02838j · Cited by 378
Over 19% Efficiency Organic Solar Cells by Regulating Multidimensional Intermolecular Interactions
Han, C., Wang, J., Zhang, S., Chen, L., Bi, F., Wang, J., Yang, C., Wang, P., Li, Y., & Bao, X. (2023) · Advanced Materials · doi:10.1002/adma.202208986 · Cited by 308
Ternary Blend Organic Solar Cells: Understanding the Morphology from Recent Progress
Xu, X., Li, Y., & Peng, Q. (2022) · Advanced Materials · doi:10.1002/adma.202107476 · Cited by 258
Metadata
- Authors
- Zhan, L., Li, S., Lau, T.-K., Cui, Y., Lu, X., Shi, M., Li, C.-Z., Li, H., Hou, J., & Chen, H.
- Venue
- Energy & Environmental Science
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2020
- Volume
- 13
- Issue
- 2
- Pages
- 635-645
- ISSN
- 1754-5692 (ISSN-L)
- 1754-5706
- OpenAlex
- W2998898156
- Cited by
- 742
- References
- 0
- FWCI
- 52.91
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Zhan, L., Li, S., Lau, T.-K., Cui, Y., Lu, X., Shi, M., Li, C.-Z., Li, H., Hou, J., & Chen, H. (2020). Over 17% efficiency ternary organic solar cells enabled by two non-fullerene acceptors working in an alloy-like model. Energy & Environmental Science. https://doi.org/10.1039/c9ee03710a
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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.
