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Energy & Environmental Science
Article . 2024 . Peer-reviewed
License: Royal Society of Chemistry Licence to Publish
Data sources: Crossref
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Enhancing inter-domain connectivity by reducing fractal dimensions: the key to passivating deep traps in organic photovoltaics

UKRI| Application Targeted and Integrated Photovoltaics - Enhancing UK Capability in Solar
Authors: Yuang Fu; Luhang Xu; Yuhao Li; Emily J. Yang; Yu Guo; Guilong Cai; Pok Fung Chan; +7 Authors
Yuang Fu; Luhang Xu; Yuhao Li; Emily J. Yang; Yu Guo; Guilong Cai; Pok Fung Chan; Yubin Ke; Chun-Jen Su; U-Ser Jeng; Philip C. Y. Chow; Ji-Seon Kim; Man-Chung Tang; Xinhui Lu;
doi: 10.1039/d4ee02961e
Abstract
Researchers in CUHK identified isolated non-fullerene acceptor (NFA) domains as the morphological origin of deep electron traps in organic photovoltaics. They showcased effective trap passivation by reducing the fractal dimensions of NFA networks.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).1 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average

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citations
Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
1
Average
Average
Average
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