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Shockley–Read–Hall (SRH) Recombination Model

Shockley–Read–Hall recombination processes via a single trap state: electron trapping, hole trapping, recombination, and carrier escape.
Shockley–Read–Hall (SRH) recombination processes illustrated for a single mid-gap trap state, with transitions labelled (a–f). (1) Electron trapping (a) followed by hole recombination (b).
(2) Hole trapping (d) followed by electron recombination (c).
(3) Hole trapping (f) with subsequent thermal hole escape.
(4) Electron trapping (e) with subsequent thermal electron escape.

Shockley–Read–Hall (SRH) recombination describes carrier loss through localized defect states (traps) within the band gap. It is a trap-assisted process: an electron (or hole) is first captured into a defect state, and then may either recombine with an opposite carrier or re-emerge by thermal excitation. ?? illustrates the four main pathways for a single mid-gap trap state, with transitions labelled (a–f):

These processes show that the same trap can mediate both recombination and carrier release. SRH recombination is inherently a two-stage mechanism: first, a carrier is captured (a, d), and only later does recombination occur when the opposite carrier is captured (b, c). If no opposite carrier arrives, the trapped carrier may thermally escape (e, f). The overall efficiency of SRH recombination depends on trap density, energy level within the band gap, carrier capture cross-sections, and the relative lifetimes of trapped carriers.

Standard SRH Recombination Rate

The net trap-assisted recombination rate under the steady-state Shockley–Read–Hall (SRH) model is given by

\[ R_{\mathrm{SRH}} = \frac{np - n_{\mathrm{eq}} p_{\mathrm{eq}}} {\tau_{p}(n + n_{1}) + \tau_{n}(p + p_{1})} \]

where \(n\) and \(p\) are the local electron and hole densities, and \(n_{\mathrm{eq}}\) and \(p_{\mathrm{eq}}\) denote their equilibrium values. Writing the numerator in this form ensures that the net recombination rate vanishes exactly at equilibrium.

The effective electron and hole lifetimes associated with the trap are

\[ \tau_n = \frac{1}{\sigma_n v_{\mathrm{th}} N_t}, \qquad \tau_p = \frac{1}{\sigma_p v_{\mathrm{th}} N_t}, \]

where \(N_t\) is the trap density, \(\sigma_n\) and \(\sigma_p\) are the electron and hole capture cross-sections, and \(v_{\mathrm{th}}\) is the thermal velocity.

The auxiliary SRH quantities \(n_1\) and \(p_1\) represent the carrier densities for which the trap is in equilibrium with the conduction and valence bands, respectively. They are defined as

\[ n_1 = n_i \exp\!\left(\frac{E_t - E_{\mathrm{ref}}}{k_B T}\right), \qquad p_1 = n_i \exp\!\left(\frac{E_{\mathrm{ref}} - E_t}{k_B T}\right), \]

where \(E_t\) is the trap energy level and \(E_{\mathrm{ref}} = E_g/2\) is the mid-gap reference energy. The intrinsic carrier concentration \(n_i\) is defined through the equilibrium condition

\[ n_i^2 = n_{\mathrm{eq}} p_{\mathrm{eq}}. \]

A trap energy \(E_t = E_{\mathrm{ref}}\) therefore corresponds to a mid-gap defect, while positive or negative values shift the trap towards the conduction or valence band, respectively.

In this formulation, recombination is mediated by a single defect level that can capture both electrons and holes. Despite its simplicity, the SRH model captures the dominant role of defect-assisted recombination in many semiconductor devices and provides a computationally efficient description suitable for steady-state device simulations.

Limitations of the Standard SRH Model

While powerful, the standard SRH equation comes with several important limitations:

To overcome these limitations, one must explicitly solve the SRH formalism across a distribution of trap states, allowing both the recombination rate and the trap occupation (and thus their electrostatic contribution) to be correctly represented. This more general treatment is described here.

In OghmaNano, the standard SRH recombination term can be enabled or disabled in the Electrical parameter editor, and the lifetimes \(\tau_{n}\) and \(\tau_{p}\) can be specified by the user.

Using SRH in OghmaNano

Where to go next

🎯 By following these sections, you’ll move from the analytical SRH model to its dynamic simulation and practical parameterization, bridging theory and device modeling.