Bifunctional hole-shuttle molecule for improved interfacial energy level alignment and defect passivation in perovskite solar cells

You, Shuai; Eickemeyer, Felix T.; Gao, Jing; Yum, Jun‐Ho; Zheng, Xin; Ren, Dan; Xia, Meng; Guo, Rui; Rong, Yaoguang; Zakeeruddin, Shaik M.; Sivula, Kevin; Tang, Jiang; Shen, Zhongjin; Li, Xiong; Grätzel, Michaël

doi:10.1038/s41560-023-01249-0

Cited by 98 publications

(53 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…PLQY results showed that SC could significantly inhibit the nonradiative recombination in Pb-Sn perovskite, mainly because SC regulated the morphology of perovskite films and passivated surface defects. [52,53] In addition, time-resolved photoluminescence (TRPL) decay measurements were performed to compare dynamic characteristics of photogenerated carriers for control and SC films. As shown in Figure 4e and Table S2 (Supporting Information), compared with control film (120.9 ns), SC film (282.1 ns) had a longer average lifetime (𝜏 avg ).…”

Section: Resultsmentioning

confidence: 99%

Synergistic Effect of Sodium Cyanoborohydride in Pb‐Sn Perovskite Solar Cells

Song,

Kong,

Zhang

et al. 2023

Adv Funct Materials

View full text Add to dashboard Cite

Pb‐Sn mixed perovskite has received extensive attention because of its high research value in environmental protection and theoretical prospects. However, the film defects brought on by the quick crystallization of Pb‐Sn mixed perovskites and the facile oxidation of Sn2+ to Sn4+ are detrimental to the performance of Pb‐Sn perovskite solar cells (PSCs). Here, aiming at the interface of Pb‐Sn PSCs, which has been less studied, a reducing agent is first introduced on the top of Pb‐Sn mixed perovskite interface. The results show that in NaBH3CN(SC), B─H can suppress the oxidation of Sn2+ and C≡N can enhance the perovskite crystallinity and passivate the surface defects. Benefitting from this synergistic effect, a champion power conversion efficiency of 21.3% is obtained for Pb‐Sn PSCs. In addition, the encapsulated device can maintain good stability under maximum power point tracking conditions.

show abstract

Section: Resultsmentioning

confidence: 99%

Synergistic Effect of Sodium Cyanoborohydride in Pb‐Sn Perovskite Solar Cells

Song,

Kong,

Zhang

et al. 2023

Adv Funct Materials

View full text Add to dashboard Cite

show abstract

“…The built-in potential (V bi ) from the Mott-Schottky (M-S) plots is extended from 1.0 to 1.03 V by CsCl:Eu 3+ modification (Figure S18, Supporting Information), confirming less V oc loss from interfacial recombination in CsCl:Eu 3+ PSCs. [36] The V oc performance correspondingly increases as the bandgap expands. [37] It is more reasonable to compare the V oc deficit of the CsCl-and CsCl:Eu 3+ -modified PSCs owing to the E g difference (1.537 and 1.507 eV) (Figure 4f).…”

Section: Resultsmentioning

confidence: 99%

Trivalent Europium‐Doped CsCl Quantum Dots for MA‐Free Perovskite Solar Cells with Inherent Bandgap through Lattice Strain Compensation

et al. 2023

View full text Add to dashboard Cite

Cesium‐formamidinium (Cs‐FA) perovskites have garnered widespread interest owing to their excellent thermal‐ and photostability in achieving stable formamidinium lead iodide (FAPbI3) perovskite solar cells (PSCs). However, Cs‐FA perovskite typically suffers from Cs+ and FA+ mismatches, affecting the Cs‐FA morphology and lattice distortion, resulting in an enlarged bandgap (Eg). To address these issues, we developed “upgraded” CsCl—Eu3+‐doped CsCl quantum dots (QDs) for FAPbI3 PSCs to solve the key issues in Cs‐FA PSCs and also exploit the advantage of Cs‐FA PSCs on stability. The introduction of Eu3+ promoted the formation of high‐quality Cs‐FA films by adjusting the Pb‐I cluster structure. CsCl:Eu3+ also offsets the local strain and lattice contraction induced by Cs+, which maintains the inherent Eg of FAPbI3 and decreases the trap density. Finally, we obtained a power conversion efficiency (PCE) of 24.13% with an excellent short‐circuit current density (Jsc) of 26.10 mA/cm2, which are among the highest in methylammonium (MA)‐free PSCs. The unencapsulated devices showed excellent humidity and storage stability owing to the relieved lattice strain and ligand protection. We achieved an initial PCE of 92.2% within 500 h under continuous light illumination of 1.5 G and bias voltage conditions, demonstrating excellent operational stability. This study provides a universal strategy to address the inherent issues of Cs‐FA devices and maintain the stability of MA‐free PSCs to satisfy future commercial criteria.This article is protected by copyright. All rights reserved

show abstract

“…Therefore, developing suitable interfacial materials is beneficial to improve both V OC and FF, and thus effectively improve PCE. [ 1,164,165 ]…”

Section: Implementation Of ML For the Advancement Of Efficient And St...mentioning

confidence: 99%

Machine‐Learning Accelerating the Development of Perovskite Photovoltaics

Liu,

Wang,

Shi

et al. 2023

Solar RRL

View full text Add to dashboard Cite

Perovskite solar cells (PSC) are a potential candidate for next‐generation photovoltaic technology. Despite the significant advancements in the field of PSCs, the ongoing development of stable and efficient metal halide perovskite materials, along with their successful integration into photovoltaic applications, remains challenges. These challenges originate from the diverse range of device structures and perovskite compositions, requiring meticulous consideration and optimization. Traditional trial‐and‐error methods are characterized by their sluggishness and labor‐intensive nature. Recently, the emergence of extensive datasets and advancements in computer hardware have facilitated the utilization of machine learning (ML) across multiple domains, including in various fields for material discovery and experimental optimization. Herein, the fundamental procedure of ML is briefly introduced, and latest progress of ML in the materials development and solar cell fabrication is comprehensively reviewed. The utilization of ML in PSCs at all stages of design can be categorized into four main areas: screening perovskite material, fabrication process optimization, device structure optimization, and understanding mechanism. The challenges and outlooks on the future development of ML are finally discussed. It is highly expected that this review can offer valuable guidance for the design and development of highly efficient and stable PSCs.

show abstract

Bifunctional hole-shuttle molecule for improved interfacial energy level alignment and defect passivation in perovskite solar cells

Cited by 98 publications

References 49 publications

Synergistic Effect of Sodium Cyanoborohydride in Pb‐Sn Perovskite Solar Cells

Synergistic Effect of Sodium Cyanoborohydride in Pb‐Sn Perovskite Solar Cells

Trivalent Europium‐Doped CsCl Quantum Dots for MA‐Free Perovskite Solar Cells with Inherent Bandgap through Lattice Strain Compensation

Machine‐Learning Accelerating the Development of Perovskite Photovoltaics

Contact Info

Product

Resources

About