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Simulating semiconductor rate equations using numerical solvers like ODE45 provides a powerful way to model carrier dynamics and recombination processes in semiconductor devices. The rate equations describe how electron and hole densities evolve over time under various conditions such as optical excitation or electrical injection.
ODE45, a built-in MATLAB solver based on the Runge-Kutta method, is particularly well-suited for stiff and non-stiff ordinary differential equations (ODEs). When applied to semiconductor rate equations, it efficiently handles the coupled differential equations governing carrier generation, recombination (radiative and non-radiative), and transport effects.
A typical simulation involves defining the rate equations as a system of ODEs, incorporating parameters like carrier lifetimes, recombination coefficients, and external excitation terms. The solver discretizes time and iteratively computes the carrier densities, providing insights into transient behaviors or steady-state solutions.
Key advantages of using ODE45 include adaptive step-size control for balancing accuracy and computational efficiency, as well as MATLAB’s seamless integration for visualizing results through plots of carrier densities versus time. This approach is widely used in photonics and electronics research to analyze laser dynamics, LED behavior, and other optoelectronic phenomena.