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Cited by 670

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Metal sulfide nanostructures: synthesis, properties and applications in energy conversion and storage

Lai, Chen-Ho, Lu, Ming-Yen, Chen, Lih-Juann·2012·J. Mater. Chem.

Abstract

Metal sulfide nanomaterials have attracted great attention because of their excellent properties and promising applications in electronic, optical and optoelectronic devices. Well-aligned nanostructure arrays on substrates are highly attractive for their enhanced properties and novel applications. The general solution route and thermal evaporation under controlled conditions have been utilized for oriented growth of various metal sulfide nanostructure arrays and demonstrated their applications in energy conversion and storage. The article provides an overview of recent research and significant advances reported in the literature, covering from synthesis to properties and to applications especially in energy conversion and storage, such as lithium-ion batteries, solar cells, fuel cells and piezoelectric nanogenerators.

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Crossref · 10.1039/c1jm13879k

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Metadata

Authors
Lai, C.-H., Lu, M.-Y., & Chen, L.-J.
Venue
J. Mater. Chem.
Published
2012
Volume
22
Issue
1
Pages
19-30
ISSN
  • 0959-9428 (ISSN-L)
  • 1364-5501
OpenAlex
W2161067045
Cited by
670
References
2
FWCI
16.23
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Metal sulfide nanostructures: synthesis, properties and applications in energy conversion and storage. https://app.cochat.ai/papers/10.1039/c1jm13879k
The paper
Lai, C.-H., Lu, M.-Y., & Chen, L.-J. (2012). Metal sulfide nanostructures: synthesis, properties and applications in energy conversion and storage. J. Mater. Chem. https://doi.org/10.1039/c1jm13879k

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.