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Mean-Field Magnetohydrodynamics and Dynamo Theory
Abstract
Mean-Field Magnetohydrodynamics and Dynamo Theory provides a systematic introduction to mean-field magnetohydrodynamics and the dynamo theory, along with the results achieved. Topics covered include turbulence and large-scale structures; general properties of the turbulent electromotive force; homogeneity, isotropy, and mirror symmetry of turbulent fields; and turbulent electromotive force in the case of non-vanishing mean flow. The turbulent electromotive force in the case of rotational mean motion is also considered. This book is comprised of 17 chapters and opens with an overview of the gen
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Citations
Cited by
Astrophysical magnetic fields and nonlinear dynamo theory
Brandenburg, A., & Subramanian, K. (2005) · Physics Reports · doi:10.1016/j.physrep.2005.06.005 · Cited by 1,640
On Stellar Activity Enhancement Due to Interactions with Extrasolar Giant Planets
Cuntz, M., Saar, S. H., & Musielak, Z. E. (2000) · The Astrophysical Journal · doi:10.1086/312609 · Cited by 320
Milestones in the Observations of Cosmic Magnetic Fields
Han, J.-L., & Wielebinski, R. (2002) · Chinese Journal of Astronomy and Astrophysics · doi:10.1088/1009-9271/2/4/293 · Cited by 84
Metadata
- Authors
- Krause, F., & Rädler, K.-H.
- Venue
- De Gruyter eBooks
- Publisher
- De Gruyter
- Published
- 1980-12-31
- OpenAlex
- W4400556561
- Cited by
- 1,912
- References
- 0
- FWCI
- 17.70
- Type
- book
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Mean-Field Magnetohydrodynamics and Dynamo Theory. https://app.cochat.ai/papers/10.1515/9783112729694
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- Krause, F., & Rädler, K.-H. (1980). Mean-Field Magnetohydrodynamics and Dynamo Theory. De Gruyter eBooks. https://doi.org/10.1515/9783112729694
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.
