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@@ -35,6 +35,7 @@ jobs: | |
- Brusselator | ||
- Mixed_Derivatives | ||
- Wave_Eq_Staggered | ||
- Complex | ||
version: | ||
- '1' | ||
- '1.6' | ||
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# Schrödinger Equation | ||
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MethodOfLines can solve linear complex PDEs like the Scrödinger equation: | ||
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```@example schro | ||
using MethodOfLines, OrdinaryDiffEq, Plots, DomainSets, ModelingToolkit | ||
@parameters t, x | ||
@variables ψ(..) | ||
Dt = Differential(t) | ||
Dxx = Differential(x)^2 | ||
xmin = 0 | ||
xmax = 1 | ||
V(x) = 0.0 | ||
eq = [im*Dt(ψ(t,x)) ~ Dxx(ψ(t,x)) + V(x)*ψ(t,x)] # You must enclose complex equations in a vector, even if there is only one equation | ||
ψ0 = x -> sin(2pi*x) | ||
bcs = [ψ(0,x) ~ ψ0(x), | ||
ψ(t,xmin) ~ 0, | ||
ψ(t,xmax) ~ 0] | ||
domains = [t ∈ Interval(0, 1), x ∈ Interval(xmin, xmax)] | ||
@named sys = PDESystem(eq, bcs, domains, [t, x], [ψ(t,x)]) | ||
disc = MOLFiniteDifference([x => 100], t) | ||
prob = discretize(sys, disc) | ||
sol = solve(prob, TRBDF2(), saveat = 0.01) | ||
discx = sol[x] | ||
disct = sol[t] | ||
discψ = sol[ψ(t, x)] | ||
anim = @animate for i in 1:length(disct) | ||
u = discψ[i, :] | ||
plot(discx, [real.(u), imag.(u)], ylim = (-1.5, 1.5), title = "t = $(disct[i])", xlabel = "x", ylabel = "ψ(t,x)", label = ["re(ψ)" "im(ψ)"], legend = :topleft) | ||
end | ||
gif(anim, "schroedinger.gif", fps = 10) | ||
``` | ||
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This represents the second from ground state of a particle in an infinite quantum well, try changing the potential `V(x)`, initial conditions and BCs, it is extremely interesting to see how the wave function evolves even for nonphysical combinations. Be sure to post interesting results on the discourse! |
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using MethodOfLines, OrdinaryDiffEq, DomainSets, ModelingToolkit, Test | ||
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@parameters t, x | ||
@variables ψ(..) | ||
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Dt = Differential(t) | ||
Dxx = Differential(x)^2 | ||
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xmin = 0 | ||
xmax = 1 | ||
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V(x) = 0.0 | ||
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eq = [im*Dt(ψ(t,x)) ~ (Dxx(ψ(t,x)) + V(x)*ψ(t,x))] # You must enclose complex equations in a vector, even if there is only one equation | ||
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ψ0 = x -> sin(2*pi*x) | ||
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bcs = [ψ(0,x) ~ ψ0(x), | ||
ψ(t,xmin) ~ 0, | ||
ψ(t,xmax) ~ 0] | ||
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domains = [t ∈ Interval(0, 1), x ∈ Interval(xmin, xmax)] | ||
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@named sys = PDESystem(eq, bcs, domains, [t, x], [ψ(t,x)]) | ||
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disc = MOLFiniteDifference([x => 100], t) | ||
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prob = discretize(sys, disc) | ||
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sol = solve(prob, TRBDF2(), saveat = 0.01) | ||
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discx = sol[x] | ||
disct = sol[t] | ||
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discψ = sol[ψ(t, x)] | ||
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analytic(t, x) = sqrt(2)*sin(2*pi*x)*exp(-im*4*pi^2*t) | ||
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analψ = [analytic(t, x) for t in disct, x in discx] | ||
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for i in 1:length(disct) | ||
u = abs.(analψ[i, :]).^2 | ||
u2 = abs.(discψ[i, :]).^2 | ||
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@test u./maximum(u) ≈ u2./maximum(u2) atol=1e-3 | ||
end | ||
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#using Plots | ||
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# anim = @animate for i in 1:length(disct) | ||
# u = analψ[i, :] | ||
# u2 = discψ[i, :] | ||
# plot(discx, [real.(u), imag.(u)], ylim = (-1.5, 1.5), title = "t = $(disct[i])", xlabel = "x", ylabel = "ψ(t,x)", label = ["re(ψ)" "im(ψ)"], legend = :topleft) | ||
# end | ||
# gif(anim, "schroedinger.gif", fps = 10) |
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