2021
DOI: 10.1051/cocv/2021013
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A new diffuse-interface approximation of the Willmore flow

Abstract: Standard diffuse approximations of the Willmore flow often lead to intersecting phase boundaries that in many cases do not correspond to the intended sharp interface evolution. Here we introduce a new two-variable diffuse approximation that includes an rather simple but efficient penalization of the deviation from a quasi-one dimensional structure of the phase fields. We justify the approximation property by a Gamma convergence result for the energies and a matched asymptotic expansion for the flow. Ground sta… Show more

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Cited by 4 publications
(3 citation statements)
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“…The justification of phase field approximations of geometric evolution laws has a long history. Our analysis closely follows the formal analysis in [25], see also [26,36] and [48]. We formulate here assumptions under which the derivation is rigorous.…”
Section: Convergence Towards the Mean Curvature Flow And Willmore Flo...mentioning
confidence: 93%
See 1 more Smart Citation
“…The justification of phase field approximations of geometric evolution laws has a long history. Our analysis closely follows the formal analysis in [25], see also [26,36] and [48]. We formulate here assumptions under which the derivation is rigorous.…”
Section: Convergence Towards the Mean Curvature Flow And Willmore Flo...mentioning
confidence: 93%
“…A number of alternative diffuse approximations of the Willmore energy have been proposed, in particular to enforce the Γ-convergence of approximations for non-smooth limit configurations to the L 1 lower semi-continuous envelope of the Willmore functional [46,47,43,48]. These approximations, however, often lack the simplicity of the standard approximation and its direct relation to applications.…”
Section: Introductionmentioning
confidence: 99%
“…For an exhaustive list of references about the approximation of the Willmore functional and other variants of this model we refer to [5] and to the recent paper [15], where the interested reader can also find many numerical simulations.…”
Section: Conjecture Let Nmentioning
confidence: 99%