ArticleACS energy letters2024
Light-Induced Metallic and Paramagnetic Defects in Halide Perovskites from Magnetic Resonance.
Article in ACS energy letters, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed.
- Selective Bidentate Coordination Reconstructs Residual PbIJournal of the American Chemical Society · 2026Article
- Atomic Cartography of High-Entropy CsSmall methods · 2025Article
- Metallic Lead Formation in Perovskites: Mechanisms, Suppression, and Future Directions.ACS nano · 2025Review
- Tunable Broadband Emission via Self-Trapped Excitons and MnSmall (Weinheim an der Bergstrasse, Germany) · 2025Article
- A Redox-Active Ionic Liquid Surface Treatment for Healing CsPbBrNano letters · 2024Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Halide perovskites are promising next-generation solar cell materials, but their commercialization is hampered by their propensity to degrade under operating conditions, particularly under heat, humidity, and light. Identifying degradation products and linking them to the degradation mechanism at the atomic scale is necessary to design more stable perovskite materials. Here we use magnetic resonance methods to identify and characterize the formation of both metallic lead clusters and Pb
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.