Updating a variable every time step using NeuralPDE.jl and Physics-Informed NN

General Usage
6

Thank you!
Using u(something) worked.

function foo(u)
    a = u(t,x,θ)^2
    return a
end

# Initial and boundary conditions
X = collect(range(-1, 1, step=0.1))
bcs = Vector{ModelingToolkit.Equation}(undef, length(U)+2)
for i in eachindex(X)
    a = foo(u)
    bcs[i] = u(0,X[i],θ) ~ -a*sin(X[i]*pi)
end
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