4.8 Article

Deeper Insight into the Role of Organic Ammonium Cations in Reducing Surface Defects of the Perovskite Film

Journal

ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
Volume 61, Issue 12, Pages -

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/anie.202115663

Keywords

Lead Iodide; Organic Ammonium Salt; Passivation Mechanism; Perovskite Solar Cells; Surface Defects

Funding

  1. National Natural Science Foundation of China [51973223]
  2. China Post-doctoral Science Foundation [2019TQ0318, 2021M693119, DICP I202011]
  3. Dalian youth science and technology program [2019RQ022]

Ask authors/readers for more resources

Organic ammonium salts can both passivate defects and redistribute excess PbI2 into a discontinuous layer, enhancing the passivation effect. Alkyl organic ammonium salts are more effective in dispersing PbI2 than fluorine-containing ones, leading to better passivation and device efficiency.
Organic ammonium salts (OASs) have been widely used to passivate perovskite defects. The passivation mechanism is usually attributed to coordination of OASs with unpaired lead or halide ions, yet ignoring their interaction with excess PbI2 on the perovskite film. Herein, we demonstrate that OASs not only passivate defects by themselves, but also redistribute excess aggregated PbI2 into a discontinuous layer, augmenting its passivation effect. Moreover, alkyl OAS is more powerful to disperse PbI2 than a F-containing one, leading to better passivation and device efficiency because F atoms restrict the intercalation of OAS into PbI2 layers. Inspired by this mechanism, exfoliated PbI2 nanosheets are adopted to provide better dispersity of PbI2, further boosting the efficiency to 23.14%. Our finding offers a distinctive understanding of the role of OASs in reducing perovskite defects, and a route to choosing an OAS passivator by considering substitution effects rather than by trial and error.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Review Medicine, General & Internal

Development process and clinical application of collagenase chemonucleolysis in the treatment of lumbar disc herniation: a narrative review in China

Peng Yuan, Xiaohua Shi, Xuanjun Wei, Zijun Wang, Jiao Mu, Hongxin Zhang

Summary: This paper reviews the development and application status of collagenase chemonucleolysis in the treatment of LDH both domestically and internationally, providing a reference for clinical treatment.

POSTGRADUATE MEDICAL JOURNAL (2023)

Article Mycology

Novel indole diketopiperazine stereoisomers from a marine-derived fungus Aspergillus sp

Xinyang Li, Jinzhong Xu, Pinmei Wang, Wanjing Ding

Summary: Four dimeric diketopiperazine stereoisomers, including two new ones, have been isolated from the culture broth of a marine-derived fungus Aspergillus sp. Z3. The structures and configurations of the new compounds were determined using various analytical methods. The cytotoxicity of these compounds against prostate cancer cells was also tested.

MYCOLOGY-AN INTERNATIONAL JOURNAL ON FUNGAL BIOLOGY (2023)

Article Radiology, Nuclear Medicine & Medical Imaging

Optimizing CT and MRI criteria for differentiating intrahepatic mass-forming cholangiocarcinoma and hepatocellular carcinoma

Hongzhen Wu, Yingying Liang, Zihua Wang, Caihong Tan, Ruimeng Yang, Xinhua Wei, Xinqing Jiang

Summary: This study evaluated the feasibility and diagnostic performance of the LI-RADS M targetoid criteria on CT and EOB-MRI in differentiating IMCC from HCC, and constructed a multivariate logistic regression model to distinguish the two types of liver cancer. The results showed that the model based on EOB-MRI had higher sensitivity, specificity, and accuracy compared to other LI-RADS targetoid appearance criteria on CT and EOB-MRI.

ACTA RADIOLOGICA (2023)

Review Materials Science, Multidisciplinary

Advanced Bio-Inspired Mechanical Sensing Technology: Learning from Nature but Going beyond Nature

Qingqing Xin, Junqiu Zhang, Zhiwu Han, Houqi Zhao, Tao Hou, Yahua Liu, Shichao Niu, Qigang Han, Zhengzhi Mu, Bo Li, Ze Wang, Luquan Ren

Summary: The high-performance optimized design of industrial sensors has been a challenging point in high-end equipment manufacturing technology. Bio-sensors have served as a great inspiration for high-sensitivity and high-performance sensors. This study discusses the mechanisms of bio-sensors in mechanical detection and the latest research results in bio-mimetic devices. The development of bio-sensors relies on the design and development of mechanical structures and functional materials with various couplings.

ADVANCED MATERIALS TECHNOLOGIES (2023)

Article Economics

Efficiency of domestic institutional arrangements for environmental sustainability along the way to participate in global value chains: evidence from Asia

Muhammad Nadeem, Siqi Lou, Zilong Wang, Ullah Sami, Syed Ahtsham Ali, Qaiser Abbas, Seyfettin Artan

Summary: Well-functioning domestic institutions play a crucial role in determining the impact of global value chains on the environment. This article empirically assesses the relationship between domestic institutional arrangements and environmental performance index for Asian countries participating in global value chains from 2001 to 2018. The findings suggest that participation in global value chains negatively affects environmental performance index, but this relationship can be reversed when accompanied by governance facilitation.

ECONOMIC RESEARCH-EKONOMSKA ISTRAZIVANJA (2023)

Article Substance Abuse

Subgroups of internet gaming disorder based on addiction-related resting-state functional connectivity

Zi-Liang Wang, Marc N. Potenza, Kun-Ru Song, Guang-Heng Dong, Xiao-Yi Fang, Jin-Tao Zhang

Summary: This study aims to identify subgroups of people with internet gaming disorder based on addiction-related functional connectivity and investigate the clinical correlates and treatment responses of these subgroups. Two subgroups with distinct connectivity patterns and clinical profiles were identified, suggesting the existence of different phenotypes within internet gaming disorder.

ADDICTION (2023)

Article Computer Science, Theory & Methods

Several secondary methods for constructing bent-negabent functions

Fei Guo, Zilong Wang, Guang Gong

Summary: In this paper, three secondary methods for constructing bent-negabent functions under different frameworks are presented. The necessary and sufficient conditions for generating these functions are analyzed. Several constructions are proposed based on these frameworks.

DESIGNS CODES AND CRYPTOGRAPHY (2023)

Article Computer Science, Information Systems

Efficient module learning with errors-based post-quantum password-authenticated key exchange

Peixin Ren, Xiaozhuo Gu, Ziliang Wang

Summary: This paper presents a quantum-safe password-authenticated key exchange protocol and demonstrates its practicality through rigorous security proofs and performance analysis.

IET INFORMATION SECURITY (2023)

Article Mathematics, Applied

Balanced odd-variable rotation symmetric Boolean functions with optimal algebraic immunity and higher nonlinearity

Fei Guo, Zilong Wang

Summary: By modifying the support of the majority function, we have constructed balanced odd-variable rotation symmetric Boolean functions with optimal algebraic immunity. The nonlinearity of these constructed functions is the highest among all known rotation symmetric Boolean functions with optimal algebraic immunity for n > 17. Simulations also demonstrate that these functions exhibit good fast algebraic immunity for some small numbers of variables.

DISCRETE APPLIED MATHEMATICS (2023)

Article Environmental Sciences

Exploring the dynamic nexus between renewable energy, poverty alleviation, and environmental pollution: fresh evidence from E-9 countries

Asad Amin, Zilong Wang, Aadil Hameed Shah, Abbas Ali Chandio

Summary: The present study examines the relationship, causality, and direction between environmental pollution (CO2), renewable/non-renewable energy, income disparity, exchange rate, and poverty alleviation in E-9 countries of Asia. Using panel data from 1990 to 2018, the study confirms the strong co-integration among these variables. It also finds that non-renewable energy, exchange rate, and income disparity have a uni/bidirectional causality with environmental pollution. The study highlights the negative impact of poverty alleviation, exchange rate, and renewable energy on reducing environmental pollution, while income disparities and non-renewable energy usage contribute to increased pollution. The study emphasizes the need for policies that focus on poverty reduction, decreased non-renewable energy usage, and promoting renewable energy and exchange rate control to address environmental pollution in these developing countries.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2023)

Article Energy & Fuels

Hydrogen/PRF skeletal mechanism study based on shock tube experiments and kinetic analysis

Wenjing Qu, Yuan Fang, Zixin Wang, Meijia Song, Qiukai Wang, Bin Tang, Liyan Feng

Summary: The present work conducted experiments to measure the ignition delay times of hydrogen/n-heptane mixture at high temperature and low pressure using a shock tube. The results showed that mixtures with higher hydrogen proportion and lower equivalence ratio had shorter ignition delay times. As the hydrogen proportion decreased, the inhibition effect of n-heptane on the mixture's ignition weakened. The NUI mechanism was selected for the kinetic study as it was consistent with the experimental values. A skeletal hydrogen/PRF mechanism was updated from a skeletal PRF mechanism based on the shock tube experimental data, and it was validated against various fuel mixtures.
Article Automation & Control Systems

Resilient Unscented Kalman Filtering Fusion With Dynamic Event-Triggered Scheme: Applications to Multiple Unmanned Aerial Vehicles

Chunyu Li, Zidong Wang, Weihao Song, Shixin Zhao, Jianan Wang, Jiayuan Shan

Summary: This article investigates the resilient unscented Kalman filtering fusion issue for a class of nonlinear systems under the dynamic event-triggered mechanism. The dynamic event-triggered scheme is capable of scheduling data transmission frequency more efficiently, reducing communication burden and energy consumption. Furthermore, the sequential covariance intersection fusion strategy is introduced to solve the problem of computing cross covariance between local filters.

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY (2023)

Article Thermodynamics

A new-proposed multi-inclined-cylinder radiation model of rectangular pool fire of heptane in longitudinal winds

Chao Ding, Guangzhao Han, Manhou Li, Jinfu Guan, Ziyuan Wang

Summary: This study investigates the flame radiation of a rectangular pool fire in longitudinal wind. The results show that the incident heat flux initially increases and then decreases as the air speed increases, with a threshold value at approximately 0.96 m/s. The heat flux is primarily determined by the burning rate at lower air speeds, but is determined by the combination of flame morphology and burning rate at higher air speeds.

INTERNATIONAL JOURNAL OF THERMAL SCIENCES (2023)

Article Engineering, Civil

Aerodynamic Force Distribution Characteristics around a Double-Slotted Box Girder of a Long-Span Bridge during Vortex-Induced Vibration

Fengying Wu, Zilong Wang, Lin Zhao, Tao Pan, Haizhu Xiao, Yaojun Ge

Summary: The influence of additional structural elements on the aerodynamic characteristics of a double-slotted box girder for hybrid bridges was investigated. It was found that wind barriers and balustrades have a considerable impact on Vortex-induced vibrations (VIVs), while maintenance rails have limited influence. The distribution of wind pressures on specific parts of the bridge deck further contributed to the generation of torsional VIVs.

JOURNAL OF BRIDGE ENGINEERING (2023)

Article Automation & Control Systems

Novel Leader-Follower-Based Particle Swarm Optimizer Inspired by Multiagent Systems: Algorithm, Experiments, and Applications

Chuang Wang, Zidong Wang, Qing-Long Han, Fei Han, Hongli Dong

Summary: In this article, a novel leader-follower-based particle swarm optimization (LFPSO) algorithm is proposed, which maintains the diversity of the particle population while improving the possibility of escaping from the locally optimal solution. Experimental results demonstrate that the proposed algorithm significantly improves the accuracy and convergence rate of conventional particle swarm optimization algorithms, and its superiority is verified in denoising real-time signals in an oilfield pipeline network.

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2023)

No Data Available