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If i model a simple advection equation with time varying velocity, I run into an UndefVarError C not defined when simulating the discretized model. Maybe this is related to #189, but I am not sure. Th…
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Looks like there is another project we should look into for inspiration/collaboration.
https://fenicsproject.org/
> FEniCS is a popular open-source (LGPLv3) computing platform for solving partia…
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Hi Lu,
I've been studying how to use this lib to solve PDEs recently.
I wonder if this lib can solve PDEs in the complex field?
And how can I use this lib to solve PDEs without boundary conditio…
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Dear lulu,
First, thanks for your dedicated work.
I have questions regarding DeepXDE in solving PDEs with time-dependent or space-dependent parameters (heterogeneous parameters).
For example, in…
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before adding these:
1. check that they are valid papers that use deal.II
2. check that they are not already in the .bib files.
3. fix up the publication
```
@Article{Schutz2018,
author = {S…
tjhei updated
2 years ago
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The concept of thin-fluid interfaces is stated in the "Statement of Need" as a motivating factor for the development of DUNE-mesh. However, this does not directly link the need for mesh adaptation. Wh…
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In solving nonlinear PDEs, you often have to form the product, `u * u` where `u` is the solution vector. This operation can be cast as a a `SciMLOperator` as follows:
```julia
function quadratic_upd…
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Solving PDEs:
Fourier Neural Operator for Parametric Partial Differential Equations
Neural Operator: Learning Maps Between Function Spaces
Solving ODEs:
Neural Flows: Efficient Alternative to …
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Dear Lu, dear users,
I wonder about the performance of PINNs algo when solving high dimensional PDEs. Does it break the curse of dimensionality? or maybe PINNs and DeepXDE is more suitable for PDEs i…
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Hello Lu,
Let me first express my thanks to you for bringing to us this package which simplifies the application of NN to PDEs.
My interests are on solving time-dependent NS equations, with various …