Mixed-cation metal halide perovskites have shown remarkable progress in photovoltaic applications with high power conversion efficiencies. However, to achieve large-scale deployment of this technology, efficiencies must be complemented by long-term durability. The latter is limited by external factors, such as exposure to humidity and air, which lead to the rapid degradation of the perovskite materials and devices. In this work, we study the mechanisms causing Cs and formamidinium (FA)-based halide perovskite phase transformations and stabilization during moisture and air exposure. We use X-ray scattering, X-ray photoelectron spectroscopy, and first-principles calculations to study these chemical interactions and their effects on structure. We unravel a surface reaction pathway involving the dissolution of FAI by water and iodide oxidation by oxygen, driving the Cs/FA ratio into thermodynamically unstable regions, leading to undesirable phase transformations. This work demonstrates the interplay of bulk phase transformations with surface chemical reactions, providing a detailed understanding of the degradation mechanism and strategies for designing durable and efficient perovskite materials.
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http://dx.doi.org/10.1021/jacs.3c05657 | DOI Listing |
Colloids Surf B Biointerfaces
December 2024
Beijing National Laboratory for Molecular Sciences (BNLMS), CAS Key Lab of Colloid, Interface and Chemical Thermodynamics, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China. Electronic address:
Significant progress has been achieved with diversity of short peptide supramolecular assemblies. However, their programmable phase modulation by single stimulus remains a great challenge. Herein, we demonstrate a dipeptide supramolecular system undergoes sequentially coupled phase transitions upon hydrogen bonding association and dissociation triggered by a single fatty acid.
View Article and Find Full Text PDFAdv Healthc Mater
December 2024
Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.
Astrocytes, integral components of the central nervous system, are increasingly recognized for their multifaceted roles beyond support cells. Despite their acknowledged importance, understanding the intricacies of astrocyte morphological dynamics remains limited. Our study marks the first exploration of astrocytes using optical diffraction tomography (ODT), establishing a label-free, quantitative method to observe morphological changes in astrocytes over a 7-day in-vitro period.
View Article and Find Full Text PDFBiometals
December 2024
Department of Biotechnology, Shri Nehru MahaVidyalaya College of Arts & Science, Coimbatore, Tamil Nadu, India.
A novel biosynthesis approach was used to develop zinc selenite (ZnSeO) catalysts from the plant extracts of Nephrolepis cordifolia (ZnSeO:NC) and Ziziphus jujube (ZnSeO:ZJ) using hydrothermal method. This study investigates the structural, morphological, and optical properties of pure and biosynthesized ZnSeO catalysts. X-ray diffraction (XRD) analysis confirms the presence of an orthorhombic phase in both catalyst types.
View Article and Find Full Text PDFSci Rep
December 2024
Plant Production Department, College of Food and Agricultural Sciences, King Saud University, P.O. Box. 2460, 11451, Riyadh, Saudi Arabia.
One of the biggest challenges encountered by the current generation is the evolution of antibiotic resistant bacteria as a result of excessive and inappropriate use of antibiotics. This problem has led to the development of alternative approaches to treat the diseases caused by these multidrug resistant bacteria (MDR). One of the most promising and novel approaches to combat these pathogens is utilization of nanomaterials as antimicrobial agents.
View Article and Find Full Text PDFSci Rep
December 2024
Henan College of Transportation, Zhengzhou, 450000, Henan, China.
Novel Human Activity Recognition (HAR) methodologies, which are built upon learning algorithms and employ ubiquitous sensors, have achieved remarkable precision in the identification of sports activities. Such progress benefits all age groups of humanity, and in the future, AI will be used to address difficult problems in scientific research. A novel approach is introduced in this article to utilize motion sensor data in order to categorize and distinguish various categories of sports activities.
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