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Philippe Vignal

Publications and source records attributed to Philippe Vignal.

2 recordsLinked to original sources

An energy-stable convex splitting for the phase-field crystal equation

The phase-field crystal equation, a parabolic, sixth-order and nonlinear partial differential equation, has generated considerable interest as a possible solution to problems arising in molecular dynamics. This is because the phase-field crystal model can capture atomic-scale effects at time-scales that are orders of magnitude larger than what molecular dynamics simulations can afford presently. Nonetheless, solving this equation is not a trivial task, as a non-increasing free energy and mass conservation need to be verified for the numerical solution to be valid. This work focuses on these issues, and proposes a novel algorithm that guarantees mass conservation, unconditional energy stability and is second-order accurate in time. This is achieved through a convex-concave splitting of the nonlinearity present in the equation, along with the use of a stabilization term that bounds possible increases in free energy. We present numerical results that validate our mathematical proofs, and show two and three dimensional simulations involving crystal growth that showcase the robustness of the method.

math-ph

PetIGA: A Framework for High-Performance Isogeometric Analysis

We present PetIGA, a code framework to approximate the solution of partial differential equations using isogeometric analysis. PetIGA can be used to assemble matrices and vectors which come from a Galerkin weak form, discretized with Non-Uniform Rational B-spline basis functions. We base our framework on PETSc, a high-performance library for the scalable solution of partial differential equations, which simplifies the development of large-scale scientific codes, provides a rich environment for prototyping, and separates parallelism from algorithm choice. We describe the implementation of PetIGA, and exemplify its use by solving a model nonlinear problem. To illustrate the robustness and flexibility of PetIGA, we solve some challenging nonlinear partial differential equations that include problems in both solid and fluid mechanics. We show strong scaling results on up to 4096 cores, which confirm the suitability of PetIGA for large scale simulations.

cs.MS