Hello, Sorry in advance if my question is very basic. I am using fipy to solve a Cahn-Hilliard equation problem, and it worked perfectly fine on a 1D domain of size nx*dx where nx=500 and dx=0.5. I wanted to run on a larger domain, but in order to reduce the computation time, I increase the spatial resolution; now the size of my domain is nx*dx where nx=2500 and dx=2. This lead to a diverging solution for all my runs.
I was wondering whether there was optimal ratios of nx and dx, or length and dx, which had to be implemented so that the code does not diverge even on a greater scale? Or if not, if anyone had an idea of what could be going on, given that I only did this change between the two versions of the code. Thank you in advance for you help! Clara
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