Tailoring ZnO–CdO Nanocomposite Photoanodes Mimicking Neural Web Like Structure for Optimized Solar Water Splitting Article Swipe
Akanksha S. Chougale
,
Snehal S. Wagh
,
Ashish Waghmare
,
Sandesh Jadkar
,
Dnyaneshwar R. Shinde
,
Shoyebmohamad F. Shaikh
,
Ravindra N. Bulakhe
,
Ji Man Kim
,
Shashikant P. Patole
,
Habib M. Pathan
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1002/aesr.202500009
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1002/aesr.202500009
The efficient photoelectrochemical (PEC) water splitting requires semiconductor photocatalyst with high light absorption, favorable band position, minimum electron‐hole recombination, and high stability. Zinc oxide–cadmium oxide (ZnO–CdO) nanocomposites are among those candidates for PEC water splitting, offering the potential to harness solar energy for sustainable hydrogen generation. Here, this study first time reports the use of ZnO–CdO nanocomposites prepared using simple, robust, and affordable successive ionic layer adsorption and reaction method for PEC water splitting. The X‐ray diffraction reveals the coexistence of ZnO and CdO crystallites with an average size of ≈10 nm, microstrain ≈14.4 × 10 −3 , and dislocation density ≈15.0 × 10 15 m −2 . The optical studies show increased absorption for the nanocomposite as compared to bare ZnO sample. The morphological studies reveal that the neural web‐like structure with increased surface area effectively improves light harvesting through developing a light trap and significantly accelerates carrier kinetics processes because of its larger interface contacting zones with the electrolyte, which further provides direct paths for rapid carrier separation and transfer. The PEC studies shown a faster photo response and lower charge transfer impedance which resulted in better photoconversion efficiency and optimum photocurrent density of 0.52 mA cm −2 , a 10‐fold that of bare ZnO and four‐fold of bare CdO.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/aesr.202500009
- OA Status
- gold
- Cited By
- 2
- References
- 78
- Related Works
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- OpenAlex ID
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https://openalex.org/W4411834882Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/aesr.202500009Digital Object Identifier
- Title
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Tailoring ZnO–CdO Nanocomposite Photoanodes Mimicking Neural Web Like Structure for Optimized Solar Water SplittingWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-06-30Full publication date if available
- Authors
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Akanksha S. Chougale, Snehal S. Wagh, Ashish Waghmare, Sandesh Jadkar, Dnyaneshwar R. Shinde, Shoyebmohamad F. Shaikh, Ravindra N. Bulakhe, Ji Man Kim, Shashikant P. Patole, Habib M. PathanList of authors in order
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https://doi.org/10.1002/aesr.202500009Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.1002/aesr.202500009Direct OA link when available
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Nanocomposite, Materials science, Water splitting, Optoelectronics, Nanotechnology, Photocatalysis, Chemistry, Biochemistry, CatalysisTop concepts (fields/topics) attached by OpenAlex
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2Total citation count in OpenAlex
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2025: 2Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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