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Cited by 1,116

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Numerical Simulation of Reactive Flow

Oran, Elaine S., Boris, Jay P.·2000·Cambridge University Press eBooks

Abstract

Reactive flows encompass a broad range of physical phenomena, interacting over many different time and space scales. Such flows occur in combustion, chemical lasers, the earth's oceans and atmosphere, and stars and interstellar space. Despite the obvious physical differences in these flows, there is a striking similarity in the forms of their descriptive equations. Thus, the considerations and procedures for constructing numerical models of these systems are also similar, and these similarities can be exploited. Moreover, using the latest technology, what were once difficult and expensive computations can now be done on desktop computers. This book takes account of the explosive growth in computer technology and the greatly increased capacity for solving complex reactive flow problems that have occurred since the first edition of Numerical Simulation of Reactive Flow was published in 1987. It presents algorithms useful for reactive flow simulations, describes trade-offs involved in their use, and gives guidance for building and using models of complex reactive flows.

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Metadata

Authors
Oran, E. S., & Boris, J. P.
Venue
Cambridge University Press eBooks
Published
2000-11-06
OpenAlex
W1529498073
Cited by
1,116
References
3
FWCI
10.87
Type
book
Language
en
Open access
closed

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CoChat. (2026). Citation check: Numerical Simulation of Reactive Flow. https://app.cochat.ai/papers/10.1017/cbo9780511574474
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Oran, E. S., & Boris, J. P. (2000). Numerical Simulation of Reactive Flow. Cambridge University Press eBooks. https://doi.org/10.1017/cbo9780511574474

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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.