Penn station, sukho Thai ??

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On Apr 11, 2013, at 1:09 PM, "Raymond Smith" <[email protected]> wrote:

> Hi,
> 
> I'm trying to model a system of a reaction occurring over a 2D particle with 
> no diffusion in the particle and a reaction rate that depends both on the 
> concentrations and the electrostatic potential in the particle -- essentially 
> a non-linear Allen-Cahn model. In this particular case, I'm trying to 
> describe ions intercalating into a phase separating, low in-plane diffusivity 
> solid. The basic governing equation looks like
> 
> TransientTerm(var=c) == f(c, Laplacian(c), phi)
> 
> where f(c, Laplacian(c), phi) is some non-linear function of c 
> (concentration), its second spatial derivatives, and the electrostatic 
> potential in the solid, phi. The function, f, leads to phase separation in 
> the particle.
> 
> I'm attempting to model the case of a constant overall current (dis)charge. 
> Because there is phase separation, and the reaction rate depends on the 
> concentration in the surface I'm modeling, there is inhomogeneity in the 
> reaction rate over the 2D surface. However, I'd like the total rate 
> integrated over the surface to be constant, achieved by varying phi (assumed 
> to be constant over the surface).
> 
> As of now, I'm doing this with a relatively naive approach of using 
> scipy.optimize.fsolve at each time step to find the value of the potential, 
> phi, which leads to the surface integral of dc/dt over the surface being the 
> desired value. This seems to work reasonably well, but the solvers are 
> implicit and that seems more like an explicit way to maintain the constraint. 
> I was wondering if there's a smoother way to incorporate this sort of 
> integral constraint. I worry that it would actually make the system a DAE, 
> and I'm not sure (a) if FiPy's integrators are designed to handle that and 
> (b) how to interact with them if they are.
> 
> Thanks,
> Ray
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