2022
DOI: 10.1016/j.cpc.2022.108304
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Vector potential-based MHD solver for non-periodic flows using Fourier continuation expansions

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Cited by 3 publications
(5 citation statements)
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“…We studied the problem of attaining a dynamo state in a channel filled with a conducting fluid undergoing turbulent Rayleigh-Bénard convection. To this purpose, we performed multiple direct numerical simulations of the Boussinesq approximation to the MHD equations, utilizing a versatile numerical method with spectral convergence in the bulk of the flow, and very high order convergence near the boundaries [27]. We analyzed the growth or decay of an initially small and random magnetic field as a function of time, determining the critical magnetic Reynolds number Rm crit for which self-sustaining dynamo action becomes feasible for three electromagnetic boundary conditions at the floor and the top of the channel at fixed Ra, and then by varying Ra for a fixed boundary condition.…”
Section: Discussionmentioning
confidence: 99%
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“…We studied the problem of attaining a dynamo state in a channel filled with a conducting fluid undergoing turbulent Rayleigh-Bénard convection. To this purpose, we performed multiple direct numerical simulations of the Boussinesq approximation to the MHD equations, utilizing a versatile numerical method with spectral convergence in the bulk of the flow, and very high order convergence near the boundaries [27]. We analyzed the growth or decay of an initially small and random magnetic field as a function of time, determining the critical magnetic Reynolds number Rm crit for which self-sustaining dynamo action becomes feasible for three electromagnetic boundary conditions at the floor and the top of the channel at fixed Ra, and then by varying Ra for a fixed boundary condition.…”
Section: Discussionmentioning
confidence: 99%
“…(1) to (3). The simulations are performed using the SPECTER parallel pseudo-spectral code [26,27], freely available at [35]. The equations are evolved in time using a double-precision second-order Runge-Kutta method.…”
Section: Governing Equationsmentioning
confidence: 99%
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