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# Convolutional neural networks for solving PDEs | Arthur Bauville
Writing an iterative multigrid PDE solver as a convolutional neural network
[https://abauville.github.io/blog/neural%20networks/202…
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Hi,
I would like to use your “pH Calc” algorithm in my Reactive-Transport-Toolbox.
This reaction toolbox solves advection-diffusion-reaction PDE for saturated (at the moment) and not saturated (…
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We should definitely organize the `examples` directory into subdirectories as this package becomes larger, but I am not sure if it makes sense to do so based on solver/mesh type the way Trixi.jl does.…
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@llfung talked to me today about his work on adjoint-accelerated programmable inference for large PDEs, and what would be needed on Turing's part to support that. As I understand it (and I know very l…
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Publish the Fourier Neural PDE Solver dataset to Foundry
A list of all potential data targets, and more info on this dataset, can be found here:
https://docs.google.com/spreadsheets/d/1SUrYEBoO1-L…
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This package has potential to be a solid foundation as being the interface between ModelingToolkit.jl and several FEM/FVM/DG/... packages, which can solve PDE-based models on unstructured domains. We …
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Discretized PDEs generate dict-based solutions of the form `sol.u[dv(iv1,iv2)][idx1,idx2]` which do not allow use of solver option `save_idx = [idx_n]`.
This makes parameter fitting more challengin…
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## Issue
Move class `AI4CFD` from script into a source code class. We may want to create a base class for a general class and then have classes inherit from this for each different case (advection di…
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Dear all,
Thanks a lot for making the code available!
I have been running into some issues with `signature_kernel.compute_Gram()` as the output is not always positive semi-definite and thus I ru…
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#### Summary:
Allow 3rd-party PDE(partial differential equation) libraries to be used to perform inference that involve PDEs.
#### Description:
The design involves `cmdstan`, `stan`, and `math…