Semiconductors: Common Mistakes and Fixes (3)

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Question

In an n-type semiconductor, the number density of electrons is ne=5×1022m3n_e = 5 \times 10^{22}\,\text{m}^{-3} and the intrinsic carrier concentration at room temperature is ni=1.5×1016m3n_i = 1.5 \times 10^{16}\,\text{m}^{-3}. Find the hole concentration nhn_h. Many students answer nh=nin_h = n_i. Why is that wrong?

Solution — Step by Step

For any extrinsic semiconductor in thermal equilibrium:

nenh=ni2n_e \cdot n_h = n_i^2

This is the law of mass action, and it holds whether the semiconductor is intrinsic, n-type, or p-type.

nh=ni2ne=(1.5×1016)25×1022=2.25×10325×1022=4.5×109m3n_h = \frac{n_i^2}{n_e} = \frac{(1.5\times 10^{16})^2}{5\times 10^{22}} = \frac{2.25\times 10^{32}}{5\times 10^{22}} = 4.5\times 10^{9}\,\text{m}^{-3}

nh=4.5×109n_h = 4.5\times 10^9, while ni=1.5×1016n_i = 1.5\times 10^{16}. The hole concentration in the doped sample is much smaller than in the pure semiconductor — by a factor of about 3×1063\times 10^6.

The hole concentration is nh=4.5×109m3n_h = 4.5\times 10^{9}\,\text{m}^{-3}, far smaller than nin_i.

Why This Works

Doping adds majority carriers (electrons in n-type) but also suppresses minority carriers via recombination. The product nenhn_e n_h stays equal to ni2n_i^2 at a given temperature, no matter how heavily doped. So when nen_e shoots up, nhn_h must drop proportionally.

This is the critical idea students miss: doping doesn’t conserve carrier counts; it conserves the product. The intrinsic value nin_i is a property of the material at a given temperature, not a floor for either carrier type.

Alternative Method

Take logs. lognh=2lognilogne\log n_h = 2\log n_i - \log n_e. With ni1016n_i \sim 10^{16} and ne1022n_e \sim 10^{22}, lognh3222=10\log n_h \sim 32 - 22 = 10, so nh1010n_h \sim 10^{10}. The order of magnitude check confirms the answer.

The wrong intuition: “Holes still come from thermal generation, so nhnin_h \approx n_i.” This forgets that holes recombine with the abundant electrons. The mass-action law is the right framework.

Common Mistake

Confusing nhn_h with nin_i. The fix is automatic if you write nenh=ni2n_e n_h = n_i^2 as your first line, every time. JEE Main 2023 Shift 2 had this exact problem with different numbers.

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