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Cited by 342

The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.

Understanding plasma catalysis through modelling and simulation—a review

Neyts, E C, Bogaerts, A·2014·Journal of Physics D: Applied Physics

Abstract

Plasma catalysis holds great promise for environmental applications, provided that the process viability can be maximized in terms of energy efficiency and product selectivity. This requires a fundamental understanding of the various processes taking place and especially the mutual interactions between plasma and catalyst. In this review, we therefore first examine the various effects of the plasma on the catalyst and of the catalyst on the plasma that have been described in the literature. Most of these studies are purely experimental. The urgently needed fundamental understanding of the mechanisms underpinning plasma catalysis, however, may also be obtained through modelling and simulation. Therefore, we also provide here an overview of the modelling efforts that have been developed already, on both the atomistic and the macroscale, and we identify the data that can be obtained with these models to illustrate how modelling and simulation may contribute to this field. Last but not least, we also identify future modelling opportunities to obtain a more complete understanding of the various underlying plasma catalytic effects, which is needed to provide a comprehensive picture of plasma catalysis.

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Metadata

Authors
Neyts, E. C., & Bogaerts, A.
Venue
Journal of Physics D: Applied Physics
Published
2014-05-14
Volume
47
Issue
22
Pages
224010
ISSN
  • 0022-3727 (ISSN-L)
  • 1361-6463
OpenAlex
W1987470389
Cited by
342
References
53
FWCI
16.84
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Understanding plasma catalysis through modelling and simulation—a review. https://app.cochat.ai/papers/10.1088/0022-3727/47/22/224010
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Neyts, E. C., & Bogaerts, A. (2014). Understanding plasma catalysis through modelling and simulation—a review. Journal of Physics D: Applied Physics. https://doi.org/10.1088/0022-3727/47/22/224010

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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.