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Hi again :)
I'd like to bring up a topic that's been keeping me busy lately in the field of Physics-Informed Neural Networks (PINNS). During research I've come across a number of papers that discus…
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Hi, ChebyKAN is indeed simple, elegant and powerful, I believe it can do more.
So I implemented it on solving some models with dynamical systems, economic models to be precise, where the dynamical …
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I am moving this over here from the [Discourse](https://discourse.julialang.org/t/neuralpde-jl-how-to-use-random-noise-as-the-initial-condition/74723/3) as per Chris's request. A short summary is belo…
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the fftw plans seem to use real planning only, even for complex initial conditions. Is the intention to disallow complex fields?
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Dear Mikael,
I'm constructing a decoupling algorithm for a Cahn-Hilliard Navier-Stokes system.
$$
\phi_t + \nabla\cdot({\bf u}\phi) = M \Delta \mu,$$
$$
\mu = \lambda(-\Delta \phi) + f(\phi))…
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Moving issue 27 from gitlab originally submitted by @aprilnovak:
The `CoupledDriver` currently only has a notion of solutions at the current and previous Picard iterations. The heat-fluids solver i…
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Hello guys,
@andrewdurkiewicz @ion201 @orbeckst So our problem is that we have a PDE to solve which is second ordered in space and first ordered in time. I was thinking that we should use the techn…
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Please comment here with the day you wish to present, the name of the software (linked to the website), and a sentence or two about what it does. Please make your repository public [1] and link *your*…
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I'm trying to use Sympy for some school work and solving PDEs. I need to make the Fourier transform of function 1/(x^2+1). Sympy returns pi\*exp(-2\*pi\*xi). This result however doesn't inverse transf…