2013
DOI: 10.1142/s0218202513500528
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Mathematical Modeling of Point Defects in Materials Science

Abstract: We survey some recent mathematical works we have contributed to that are related to the modeling of defects in materials science at different scales. We emphasize the similarities (need of a reference, often periodic system; renormalization procedure; etc) shared by models arising in different contexts. Our illustrative examples are taken from electronic structure models, atomistic models, homogenization problems. The exposition is pedagogic and deliberately kept elementary. Both theoretical and numerical aspe… Show more

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Cited by 24 publications
(17 citation statements)
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“…This motivates the formulation of a Galerkin-type approximation scheme for (1) (see Sections 2.3 and 3.4 This is a finite dimensional optimisation problem with dim(Ẇ 1,2 N ) ≈ N , and our framework yields a straightforward proof of: supposeū is a strongly stable (cf. (9)) solution to (1) then, for N sufficiently large, there exists a solutionū N to (3) such that…”
Section: Outlinementioning
confidence: 99%
See 2 more Smart Citations
“…This motivates the formulation of a Galerkin-type approximation scheme for (1) (see Sections 2.3 and 3.4 This is a finite dimensional optimisation problem with dim(Ẇ 1,2 N ) ≈ N , and our framework yields a straightforward proof of: supposeū is a strongly stable (cf. (9)) solution to (1) then, for N sufficiently large, there exists a solutionū N to (3) such that…”
Section: Outlinementioning
confidence: 99%
“…We see no obstacle to include Lennard-Jones type interactions, but this would require finer estimates and a more complex notation. However, we explicitly exclude Coulomb interactions or any electronic structure model and hence also charged defects (see, for example, [9][10][11]17,27]). …”
Section: Outlinementioning
confidence: 99%
See 1 more Smart Citation
“…In the mathematics literature, considerable progress has been made on studying electronic ground states corresponding to local defects in crystals e.g. [3,4,5].…”
Section: Introductionmentioning
confidence: 99%
“…The problem (16) in w 1 p is random in nature, but it is in fact easy to see, taking the expectation, that w 1 p = E(w 1 p ) is Q-periodic and solves the deterministic problem…”
Section: Small Random Perturbations Of the Periodic Settingmentioning
confidence: 99%