研究目的
Investigating the therapeutic effects of a specific herbal medicine on a particular disease.
研究成果
By simultaneously incorporating N, S co-doped graphene quantum dots into the perovskite layer and its corresponding charge contact interfaces, we have successfully realized multiple interface engineering throughout the solar cell device and effectively (cid:147)killed three birds with one stone(cid:148). At first, the perovskite grain size can be increased by the added NSGQDs in the perovskite film, which not only slow down the crystallization process but also passivate the defects by coordinating with the under-coordinated lead-cation. Furthermore, the NSGQDs used as the electron interfacial layer promote the charge separation as well as thus inhibit the charge recombination. Furthermore, when NSGQDs are used as the hole interfacial modification layer, the band alignment between the perovskite layer and HTL is optimized, and the stability is greatly improved. Thanks to the multiple interface engineering, PSCs assembled with IH.(cid:8)2O3 ETL layer display a significant efficiency enhancement from 14% to 19.2% (an increase of 37%), a new record PCE reported for Fe2O3-based PSCs to date. A substantial decrease is observed in the device hysteresis. The humidity stability is enhanced by 78% after 400 hours (82% of the primary PCE after 1200 h), and the thermal stability is increased by 84% after 300 hours. Meanwhile, PCE of Fe2O3-based devices was three times larger than that of TiO2-based devices under the intensive UV irradiation for 120 mins. In addition to the Fe2O3, our methodology presents to be versatile and beneficial for improving the performance of PSCs fabricated with TiO2 and SnO2 electron transport materials. Our present approach effectively targets multiple factors that limit solar cell efficiency and lifetime simultaneously. The remarkable achievements herein could lead to transformative applications of perovskite solar cells from laboratory to real-world deployments.
研究不足
The technical and application constraints of the experiments, as well as potential areas for optimization.