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Cited by 302

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

The Cahn–Hilliard equation with a concentration dependent mobility: motion by minus the Laplacian of the mean curvature

Cahn, J. W., Elliott, C. M., Novick-Cohen, A.·1996·European Journal of Applied Mathematics

Abstract

We show by using formal asymptotics that the zero level set of the solution to the Cahn–Hilliard equation with a concentration dependent mobility approximates to lowest order in ɛ. an interface evolving according to the geometric motion, (where V is the normal velocity, Δ8is the surface Laplacian and κ is the mean curvature of the interface), both in the deep quench limit and when the temperature θ is where є 2 is the coefficient of gradient energy. Equation (0.1) may be viewed as motion by surface diffusion, and as a higher-order analogue of motion by mean curvature predicted by the bistable reaction-diffusion equation.

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Crossref · 10.1017/s0956792500002369

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Metadata

Authors
Cahn, J. W., Elliott, C. M., & Novick-Cohen, A.
Venue
European Journal of Applied Mathematics
Published
1996-06
Volume
7
Issue
3
Pages
287-301
ISSN
  • 0956-7925 (ISSN-L)
  • 1469-4425
OpenAlex
W1965753687
Cited by
302
References
11
FWCI
6.42
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Cahn–Hilliard equation with a concentration dependent mobility: motion by minus the Laplacian of the mean curvature. https://app.cochat.ai/papers/10.1017/s0956792500002369
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Cahn, J. W., Elliott, C. M., & Novick-Cohen, A. (1996). The Cahn–Hilliard equation with a concentration dependent mobility: motion by minus the Laplacian of the mean curvature. European Journal of Applied Mathematics. https://doi.org/10.1017/s0956792500002369

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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.