PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
January 9, 2020Advanced Functional Materials63 citationsOpen Access

Engineering of the Electron Transport Layer/Perovskite Interface in Solar Cells Designed on TiO2 Rutile Nanorods

View Full Paper
FSFahimeh ShahvaranfardMAMarco AltomareYHYi Hou

Key Points

Key points are not available for this paper at this time.

Abstract

Abstract The engineering of the electron transport layer (ETL)/light absorber interface is explored in perovskite solar cells. Single‐crystalline TiO 2 nanorod (NR) arrays are used as ETL and methylammonium lead iodide (MAPI) as light absorber. A dual ETL surface modification is investigated, namely by a TiCl 4 treatment combined with a subsequent PC 61 BM monolayer deposition, and the effects on the device photovoltaic performance were evaluated with respect to single modifications. Under optimized conditions, for the combined treatment synergistic effects are observed that lead to remarkable enhancements in cell efficiency, from 14.2% to 19.5%, and to suppression of hysteresis. The devices show J SC , V OC , and fill factor as high as 23.2 mA cm −2 , 1.1 V, and 77%, respectively. These results are ascribed to a more efficient charge transfer across the ETL/perovskite interface, which originates from the passivation of defects and trap states at the ETL surface. To the best of our knowledge, this is the highest cell performance ever reported for TiO 2 NR‐based solar cells fabricated with conventional MAPI light absorber. Perspective wise, this ETL surface functionalization approach combined with more recently developed and better performing light absorbers, such as mixed cation/anion hybrid perovskite materials, is expected to provide further performance enhancements.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Shahvaranfard et al. (2020) studied this question.

synapsesocial.com/papers/6a741577d26b1c0b9d603984https://doi.org/10.1002/adfm.201909738
Ask AI
Helpful
Bookmark
Share
View Full Paper