journal article·2022-06Open access

Single-crystalline TiO2 nanoparticles for stable and efficient perovskite modules

Yong Ding, Bin Ding, Hiroyuki Kanda, Onovbaramwen Jennifer Usiobo, Thibaut Gallet, Zhenhai Yang, Yan Liu, Hao Huang, Jiang Sheng, Cheng Liu, Yi Yang, Valentin Ianis Emmanuel Queloz, Xianfu Zhang, Jean-Nicolas Audinot, Alex Redinger, Wei Dang, Edoardo Mosconic, Wen Luo, Filippo De Angelis, Mingkui Wang, Patrick Dörflinger, Melina Armer, Valentin Schmid, Rui Wang, Keith G. Brooks, Jihuai Wu, Vladimir Dyakonov, Guanjun Yang, Songyuan Dai, Paul J. Dyson, Mohammad Khaja Nazeeruddin

Nature Nanotechnology· Volume 17· Issue 6

Abstract

Despite the remarkable progress in power conversion efficiency of perovskite solar cells, going from individual small-size devices into large-area modules while preserving their commercial competitiveness compared with other thin-film solar cells remains a challenge. Major obstacles include reduction of both the resistive losses and intrinsic defects in the electron transport layers and the reliable fabrication of high-quality large-area perovskite films. Here we report a facile solvothermal method to synthesize single-crystalline TiO2 rhombohedral nanoparticles with exposed (001) facets. Owing to their low lattice mismatch and high affinity with the perovskite absorber, their high electron mobility and their lower density of defects, single-crystalline TiO2 nanoparticle-based small-size devices achieve an efficiency of 24.05% and a fill factor of 84.7%. The devices maintain about 90% of their initial performance after continuous operation for 1,400 h. We have fabricated large-area modules and obtained a certified efficiency of 22.72% with an active area of nearly 24 cm2, which represents the highest-efficiency modules with the lowest loss in efficiency when scaling up.
Source: europepmc · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Perovskite Materials and Applications · Quantum Dots Synthesis And Properties · Advanced Photocatalysis Techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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