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Mathematical Models for Nano Science - Politecnico di Milano

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Model equations - 1<br />

• Excited state<br />

equation<br />

{ ∂X<br />

∂t = G − k recX − k <strong>di</strong>ss X + γnp in Ω<br />

X (x, 0) = X 0 (x) in Ω.<br />

• No <strong>di</strong>ffusion → ODE → no need <strong>for</strong> boundary con<strong>di</strong>tions<br />

• Generation term G(x, t): constant, Beer-Lambert<br />

• Dissociation rate constant k <strong>di</strong>ss (E) accor<strong>di</strong>ng to Onsager theory<br />

• Langevin bimolecular recombination γnp<br />

• Electron<br />

equation<br />

⎧<br />

∂n<br />

∂t − 1 q <strong>di</strong>v J n = k <strong>di</strong>ss X − γnp in Ω<br />

⎪⎨<br />

J n = qD n ∇n − qµ n n∇ϕ in Ω<br />

1<br />

γ n<br />

q J n · ν = β n − α n n on Γ A ∪ Γ C<br />

⎪⎩<br />

n(x, 0) = n 0 (x) in Ω.<br />

• Drift-Diffusion model • Scott-Malliaras boundary con<strong>di</strong>tions<br />

• Simplified Poole-Frenkel model <strong>for</strong> mobility µ(E)

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