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Functional materials derived from open framework templates/precursors: synthesis and applications

Sun, Jian-Ke, Xu, Qiang·2014·Energy & Environmental Science

Abstract

There is a general consensus to develop renewable energy storage and conversion technologies to replace fossil fuel energy for sustainable development. Currently, the development of high performance energy storage and conversion devices is an important step on the road to alternative energy technologies. Among the newly developed materials, porous carbons and related functional materials including metal/metal oxide nanoparticles and carbon–metal/metal oxide hybrids show potential for applications in such devices. Recently, the newly emerging open framework materials, including metal–organic frameworks (MOFs) and porous organic frameworks (POFs), act as outstanding templates and/or precursors to fabricate porous carbons and related nanostructured functional materials based on their high surface areas, controllable structures and abundant metal/organic species in their scaffolds. Here, recent significant advances in the development of open frameworks for preparation of porous carbons and related nanostructured functional materials are reviewed with special emphases on the applications in the energy and environmental areas.

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Metadata

Authors
Sun, J.-K., & Xu, Q.
Venue
Energy & Environmental Science
Published
2014
Volume
7
Issue
7
Pages
2071
ISSN
  • 1754-5692 (ISSN-L)
  • 1754-5706
OpenAlex
W2001602846
Cited by
687
References
3
FWCI
36.97
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Functional materials derived from open framework templates/precursors: synthesis and applications. https://app.cochat.ai/papers/10.1039/c4ee00517a
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Sun, J.-K., & Xu, Q. (2014). Functional materials derived from open framework templates/precursors: synthesis and applications. Energy & Environmental Science. https://doi.org/10.1039/c4ee00517a

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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.