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docs/src/examples/pde/gray_scott.md

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Now that we have an understanding of the data and its visualization, we can define the neural network and the UDE structure. We replace the $\frac{a u^2}{v} + \bar{u} - \alpha u$ term with a neural network, giving the resultant ODEs.
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```math
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du = D1 * (A_y u + u A_x) + \mathcal{N}_\theta(u,v)
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du = D1 (A_y u + u A_x) + \mathcal{N}_\theta(u,v)
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```
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```math

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