ArticleNature communications2023
Stability follows efficiency based on the analysis of a large perovskite solar cells ageing dataset.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
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Who cites it
21 citing papers in PubMed.
- Continuous optical-electrical field diagnostics separate environmental modulation from irreversible perovskite solar-cell failure.Energy & environmental science · 2026Article
- Intermediate-Site Anchoring Ligands Enable Robust Nonlayered Interfacial Passivation for Efficient and Stable Air-Processed Perovskite Solar Cells.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- In Situ Pseudo-Halide Diffusion Enables Buried Interface Regulation and Crystallinity Enhancement in Perovskite Solar Cells.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Machine Learning-Driven Advances in Perovskite Materials and Solar Cells.Nanomaterials (Basel, Switzerland) · 2026Review
- Quantifying Deep-Level Defects-Dominated Degradation for Commercially Viable Perovskite Solar Cells.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Impact of Structural Dimensionality on the Optoelectronic Behavior of Lead-Halide Perovskites.Materials (Basel, Switzerland) · 2026Article
- Organic-Inorganic Metal Halide Perovskites: Toward Stability, Chirality, and AI-Guided Discovery.ACS central science · 2026Review
- Degradation-as-ignal: a digital-twin framework for disposable optical glucose sensing with lead-free perovskite-inspired films.RSC advances · 2026Article
- Article
- Photostability of Perovskite Solar Cells: Challenges and Strategies.Nanomaterials (Basel, Switzerland) · 2025Review
- Progress and Developments in the Fabrication and Characterization of Metal Halide Perovskites for Photovoltaic Applications.Nanomaterials (Basel, Switzerland) · 2025Review
- Novel GSIP: GAN-based sperm-inspired pixel imputation for robust energy image reconstruction.Scientific reports · 2025Article
- Overcoming the Open-Circuit Voltage Losses in Narrow Bandgap Perovskites for All-Perovskite Tandem Solar Cells.ACS materials letters · 2024Article
- Photodegradation of Organic Solar Cells under Visible Light and the Crucial Influence of Its Spectral Composition.ACS applied materials & interfaces · 2024Article
- Simulation and optimization of 30.17% high performance N-type TCO-free inverted perovskite solar cell using inorganic transport materials.Scientific reports · 2024Article
- Uniaxial-Oriented Perovskite Films with Controllable Orientation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Advancing high-throughput combinatorial aging studies of hybrid perovskite thin filmsJournal of materials chemistry. A · 2024Article
- Accelerating the Assessment of Hysteresis in Perovskite Solar Cells.ACS energy letters · 2024Article
- Phase stabilization of cesium lead iodide perovskites for use in efficient optoelectronic devices.NPG Asia materials · 2024Review
- Lead-free novel perovskite BaHeliyon · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
While perovskite solar cells have reached competitive efficiency values during the last decade, stability issues remain a critical challenge to be addressed for pushing this technology towards commercialisation. In this study, we analyse a large homogeneous dataset of Maximum Power Point Tracking (MPPT) operational ageing data that we collected with a custom-built High-throughput Ageing System in the past 3 years. In total, 2,245 MPPT ageing curves are analysed which were obtained under controlled conditions (continuous illumination, controlled temperature and atmosphere) from devices comprising various lead-halide perovskite absorbers, charge selective layers, contact layers, and architectures. In a high-level statistical analysis, we find a correlation between the maximum reached power conversion efficiency (PCE) and the relative PCE loss observed after 150-hours of ageing, with more efficient cells statistically also showing higher stability. Additionally, using the unsupervised machine learning method self-organising map, we cluster this dataset based on the degradation curve shapes. We find a correlation between the frequency of particular shapes of degradation curves and the maximum reached PCE.
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Registered trials
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