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Hi, I am getting the following error when trying to solve the inverse problem (learning \lambda) using NeuralPDE.jl: "`KeyError: key λ not found`" and it points towards the line `@named pde_system = P…
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You can add math models which helps in financial forcasting.
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Hi, thanks for making this lovely package.
I have a simple ODE model with the following code:
```python
import tensorflow as tf
import matplotlib.pyplot as plt
from tfdiffeq import odeint
…
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Hi all,
Many of you have reached out to me or @ChrisRackauckas about doing a GSoC related to NeuralPDE.jl, or PDE discretizers and we're both very happy to have you interested in these tools.
S…
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I wonder if it would be useful to add a solver that wraps [Richardson Extrapolation](https://github.com/JuliaMath/Richardson.jl) around another solver. You already have a limited form of this (Rombe…
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I am trying to solve the equations for a fully developed laminar flow in a channel (continuity and x-momentum NSE equation) but my PINN code is unable to drive down the non-linear term ((rho/mu)*u*du/…
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JAX is unable to obtain the Jacobian of a linear function in an efficient manner.
```python
import jax
import jax.numpy as jnp
import jax.random as jrandom
import timeit
A = jrandom.normal(j…
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Small disclaimer: I am yet another phd student whose main scope of research happened to be SNN. What I am to say below is only based on what I currently think I know. I might be very wrong, so please …
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Couple of strategy/scenarios
1) train-to-train model
- train a sub-class of PDEs with NeuralOperator
- transfer learning pre-trained prediction from NeuralOperator problem to PINNs
- PINNs train…