The computational modeling of crystalline materials using a stochastic variational principle

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Abstract

We introduce a variational principle suitable for the computational modeling of crystalline materials. We consider a class of materials that are described by non-quasiconvex variational integrals.We are further focused on equlibria of such materials that have non-attainment structure, i.e., Dirichlet boundary conditions prohibit these variational integrals from attaining their infima. Consequently, the equilibrium is described by probablity distributions. The new variational principle provides the possibility to use standard optimization tools to achieve stochastic equilibrium states starting from given initial deterministic states. © Springer-Verlag Berlin Heidelberg 2002.

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Cox, D., Klouček, P., & Reynolds, D. R. (2002). The computational modeling of crystalline materials using a stochastic variational principle. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2330 LNCS, pp. 461–469). Springer Verlag. https://doi.org/10.1007/3-540-46080-2_48

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