Energy Bands and Carrier Transport: From Bonds to Drift, Diffusion and the Continuity Equations

Section 3 of the GATE Electronics and Communication Engineering paper is called Electronic Devices, and this chapter is the half of it that contains no device at all — the physics every device in the next chapter is assembled out of. Take the syllabus order seriously, because it is a build order. Energy bands come first: bring N atoms together and each sharp atomic level splits into N levels so close together that they are a continuum, and whether the topmost occupied band is full or half full decides metal, semiconductor or insulator before a single carrier is counted. Then intrinsic and extrinsic bands, where the whole effect of doping is to move one number — the Fermi level — while leaving E_c, E_v and E_g exactly where they were. Then equilibrium carrier concentration, which is two equations and nothing more: charge neutrality, and the mass-action law np = n_i². That second one is the most quietly powerful statement in the section, because it says the two carrier populations are locked together, so every donor you add pushes the hole population down by the same factor it pushes the electron population up. Then direct and indirect band gaps, which is not a classification exercise: it is the reason silicon detects light and cannot emit it, and the reason a silicon solar cell is 180 µm thick while a gallium arsenide one is 2 µm. Carrier transport is then only two mechanisms — drift driven by a field, diffusion driven by a gradient — tied together by the Einstein relation D/µ = kT/q, which is not an empirical fit but a requirement of equilibrium. And the section closes with the two bookkeeping equations, Poisson and continuity, which are what let you split any device into a space-charge region where the field lives and a quasi-neutral region where diffusion lives. Every worked number below is for silicon at 300 K with kT/q = 0.0259 V and n_i = 1.5 × 10¹⁰ cm⁻³.

How a Sharp Atomic Level Becomes a Band

An isolated atom has discrete, sharp energy levels. Bring two atoms close enough that their outer orbitals overlap and the Pauli exclusion principle forbids the two electrons from occupying the identical state, so the single level must split into two — one bonding state pushed down in energy, one antibonding state pushed up. Bring N atoms together and the same level splits into N levels. For a real crystal N is of order 10²² per cubic centimetre, so those N levels are separated by something like 10⁻²² eV, which is unmeasurably small compared with kT = 0.0259 eV at room temperature. That is what a band is: not a new kind of energy level, but N ordinary levels packed so densely that only their envelope matters. Note what controls the width of the band — the strength of the orbital overlap, and nothing else. Tightly bound core electrons barely overlap between neighbours and their levels stay almost as sharp as in the free atom; the outer valence orbitals overlap strongly and spread into bands electron-volts wide. This is why chemistry and conduction are both decided by the valence shell.

Silicon makes the picture concrete. An isolated silicon atom has four valence electrons in 3s and 3p orbitals; in the crystal these hybridise into four sp³ orbitals pointing at the corners of a tetrahedron, and the 4N available valence states split into 4N bonding states and 4N antibonding states separated by a forbidden gap. Silicon has exactly 4N valence electrons, so at absolute zero the bonding band — the valence band — is completely full and the antibonding band — the conduction band — is completely empty. A completely full band carries no current at all, however many electrons are in it, because for every electron moving one way there is one moving the other and there is no empty state to move into. So the three classes of solid are settled by counting, not by conductivity measurement: a metal has a partly filled band (sodium's 3s band holds 2N states and has only N electrons), an insulator has a full band and a gap far larger than kT, and a semiconductor has a full band and a gap small enough that thermal energy can lift a useful number of electrons across it.

Band gaps at 300 K, and what each gap buys
MaterialE_g (eV)Gap in units of kTConsequence
Germanium0.66 eV25.5 kTn_i ≈ 2.5 × 10¹³ cm⁻³ — leaky, hence obsolete for logic
Silicon1.12 eV43.3 kTn_i ≈ 1.5 × 10¹⁰ cm⁻³ — the reference case for this chapter
Gallium arsenide1.42 eV54.8 kTn_i ≈ 2.1 × 10⁶ cm⁻³ — direct gap, emits at 873 nm
Gallium nitride3.4 eV131 kTHigh-field, high-temperature devices; blue emission when alloyed
Silicon dioxideabout 9 eVabout 348 kTA true insulator — the gate dielectric of every MOSFET
🎯 Why a fraction of an electron-volt separates a wire from an insulator
The intrinsic carrier concentration carries an exponential factor exp(−E_g/2kT), and at 300 K kT = 0.0259 eV, so the exponent is enormous and small changes in E_g are violent changes in n_i. Read it off the table. Germanium at 0.66 eV has n_i ≈ 2.5 × 10¹³ cm⁻³; silicon at 1.12 eV has 1.5 × 10¹⁰, about 1700 times less; gallium arsenide at 1.42 eV has 2.1 × 10⁶, another 7000 times less. Most of that is the exponential, and the rest is the different effective densities of states in the three materials. Now the design reading. A device works by controlling carriers, so the carriers it cannot control — the thermally generated intrinsic ones — are pure leakage, and the leakage floor is set by n_i. That single fact explains three things at once: why germanium lost to silicon despite having higher mobility, why silicon power devices are rated to about 150 °C and not 400 °C, and why silicon carbide and gallium nitride, with gaps of 3.3 and 3.4 eV, own the high-temperature and high-voltage end of the market. A wide gap is not merely 'more insulating'; it is a lower noise floor for everything built on it.

Intrinsic, Extrinsic, and the One Number Doping Actually Moves

In an intrinsic semiconductor every conduction electron came from a broken bond, so it left a hole behind and n = p = n_i. The Fermi level E_F — the energy at which the occupation probability is one half — then sits close to the middle of the gap, and it is worth knowing exactly how close, because the exam sometimes asks. The intrinsic level is E_i = (E_c + E_v)/2 + (kT/2) ln(N_v/N_c), and for silicon with N_c = 2.8 × 10¹⁹ and N_v = 1.04 × 10¹⁹ cm⁻³ the correction is (0.0259/2) × ln(0.371) = −0.0128 eV. So E_i lies 12.8 meV below midgap, which is half a kT. Calling the intrinsic Fermi level 'midgap' is therefore an approximation good to half a thermal voltage, and for every purpose in this syllabus that is good enough — but the reason it is not exactly midgap is worth having, and the reason is that electrons and holes have different effective masses, so the two bands do not offer the same number of states.

Doping makes the material extrinsic. Substitute a group-V atom — phosphorus, arsenic, antimony — into a silicon site and it brings five valence electrons where four bonds are needed, so the fifth sits in a donor level only about 45 meV below E_c for phosphorus. At 300 K that is 45/25.9 = 1.74 kT, shallow enough that essentially every donor is ionised, which is why we write n ≈ N_D without apology. A group-III atom — boron, aluminium, gallium — brings three electrons where four are needed, leaving an acceptor level about 45 meV above E_v that captures an electron from the valence band and produces a hole. The band edges do not move, the gap does not change, and no new states appear inside the bands. What moves is E_F. In n-type material E_F climbs toward E_c; in p-type it sinks toward E_v. That is the entire band-diagram content of doping, and it is what makes a junction possible: bring an n-region and a p-region together and the two Fermi levels must line up at equilibrium, which is only achievable by bending the bands — and the amount of bending is the built-in potential of the next chapter.

⚠️ Doping does not create carriers out of nothing — it trades one type for the other
Dope silicon with N_D = 10¹⁷ cm⁻³ of phosphorus. Then n ≈ 10¹⁷ cm⁻³, up from 1.5 × 10¹⁰ — a factor of nearly seven million. The tempting conclusion is that the crystal now has seven million times as many carriers. It does not. The mass-action law np = n_i² holds at equilibrium regardless of doping, so p = n_i²/n = (1.5 × 10¹⁰)²/10¹⁷ = 2.25 × 10²⁰/10¹⁷ = 2250 cm⁻³, down from 1.5 × 10¹⁰ by the very same factor of nearly seven million. The electron population went up by exactly the factor the hole population went down by, because their product is fixed. Physically, the extra electrons raise the recombination rate until the hole population is driven down to match. Two consequences follow that examiners test relentlessly. First, n/p = 10¹⁷/2250 = 4.4 × 10¹³ — a doped semiconductor is not 'mostly electrons', it is overwhelmingly electrons, and holes in it are a minority population thirteen orders of magnitude down. Second, n_i is a property of the material and the temperature and nothing else; adding donors does not change n_i any more than adding salt changes the boiling point of pure water. A candidate who writes p = n_i for doped silicon, or who thinks n_i rises with doping, has lost the question in the first line.

Push the doping far enough and the description above breaks. As N_D approaches the conduction-band effective density of states — around 2.8 × 10¹⁹ cm⁻³ for silicon — E_F climbs to within a kT of E_c and then enters the band. The material is now degenerate: the Boltzmann approximation n = N_c exp(−(E_c − E_F)/kT) fails and full Fermi–Dirac statistics are needed, the gap narrows slightly because the impurity wavefunctions overlap into a band of their own, and the semiconductor starts behaving metallically. This is not a curiosity to be avoided; it is deliberately exploited. Every ohmic contact on an integrated circuit is made by doping the semiconductor degenerately (written n+ or p+) right under the metal, because a degenerate surface makes the barrier at the metal so thin that carriers tunnel straight through it instead of having to be thermally lifted over it. The rule of thumb to carry is the validity condition for everything else in this chapter: the Boltzmann form is safe while E_c − E_F exceeds about 3kT, that is while N_D stays a couple of orders of magnitude below N_c.

Equilibrium Carrier Concentration: Two Equations, Three Temperature Regimes

Everything in this section follows from two statements. The first is charge neutrality: a lump of semiconductor sitting on the bench has no net charge, so p + N_D⁺ = n + N_A⁻, and with complete ionisation that is p + N_D = n + N_A. The second is the mass-action law np = n_i², which comes from writing n = N_c exp(−(E_c − E_F)/kT) and p = N_v exp(−(E_F − E_v)/kT) and multiplying: the E_F cancels, leaving np = N_c N_v exp(−E_g/kT) = n_i², a quantity that depends on the material and the temperature and not on where the Fermi level sits. Solving the two together for n-type material gives the exact result n = N_D/2 + √((N_D/2)² + n_i²), and it is instructive to see how little the second term matters: at N_D = 10¹⁷ and n_i = 1.5 × 10¹⁰, the correction is of relative size (n_i/N_D)² ≈ 2 × 10⁻¹⁴. So n ≈ N_D is not laziness, it is accurate to fourteen figures — but the exact form is the one to reach for when the doping is comparable to n_i, which happens either in very lightly doped material or at high temperature.

Once n is known the Fermi level follows from n = n_i exp((E_F − E_i)/kT), so E_F − E_i = kT ln(n/n_i). For our N_D = 10¹⁷ cm⁻³ sample, E_F − E_i = 0.0259 × ln(10¹⁷/1.5 × 10¹⁰) = 0.0259 × 15.713 = 0.407 eV, so the Fermi level has climbed 0.407 eV above the intrinsic level and now sits about 0.15 eV below the conduction-band edge. The p-type mirror image is E_i − E_F = kT ln(p/n_i), which for N_A = 10¹⁷ gives the same 0.407 eV downward. Compensation is where the two equations earn their keep. Dope a sample with both N_D = 5 × 10¹⁶ and N_A = 2 × 10¹⁶ cm⁻³. The donors and acceptors do not annihilate; each is still there, still ionised, still scattering carriers. But charge neutrality only sees the net, so n ≈ N_D − N_A = 3 × 10¹⁶ cm⁻³ and p = 2.25 × 10²⁰/3 × 10¹⁶ = 7500 cm⁻³. The material behaves electrically as though it were doped at 3 × 10¹⁶, and this is exactly how a p-well is made inside an n-substrate, and how a base region is formed by diffusing acceptors into a donor-doped collector.

The same n-type sample read at three temperatures (N_D = 10¹⁵ cm⁻³)
RegimeRough temperature rangeWhat limits nBehaviour of n
Freeze-outbelow about 100 KkT too small to ionise a 45 meV donorRises steeply with T; most donors still neutral
Extrinsicroughly 150 K to 500 KThe doping — every donor ionised, n_i still tinyFlat at n = N_D — the regime every device is designed in
Intrinsicabove roughly 550 K for this dopingn_i has caught up with N_DRises exponentially again; the junction stops rectifying
⚠️ Which `n_i` did the question give you? The answer moves by a factor of 2.25
Textbooks quote two different room-temperature values for the intrinsic carrier concentration of silicon: the older 1.5 × 10¹⁰ cm⁻³ and the modern measured 1.0 × 10¹⁰ cm⁻³. Both appear in question papers, and the difference is not cosmetic, because n_i enters most answers squared. Take our doped sample again. With n_i = 1.5 × 10¹⁰ the minority hole concentration is p = 2.25 × 10²⁰/10¹⁷ = 2250 cm⁻³; with n_i = 1.0 × 10¹⁰ it is 1.0 × 10²⁰/10¹⁷ = 1000 cm⁻³. A 50 per cent difference in the constant becomes a factor of 2.25 in the answer, and the same squaring runs through reverse saturation current, through minority-carrier injection, through everything downstream. Two habits protect you. First, use the value the question states and no other, even if it disagrees with the one you memorised; the examiner is testing the method, and a numerical-answer-type question is marked against the value they used. Second, when a question gives you n_i and a doping and asks for the built-in potential of a junction, notice that V_bi depends on ln(N_A N_D/n_i²) — a logarithm, so the same 2.25 shifts V_bi by only kT ln 2.25 = 21 mV. The sensitivity to n_i is savage in the carrier concentrations and mild in the potentials, and knowing which is which tells you when to worry.

Direct and Indirect Gaps: Why Silicon Sees but Cannot Shine

Band edges are not flat lines; they are the extremes of curves plotted against crystal momentum k. In gallium arsenide the minimum of the conduction band and the maximum of the valence band both sit at k = 0, the centre of the Brillouin zone, so an electron can fall from one to the other without changing momentum: a direct gap. In silicon the valence maximum is at k = 0 but the conduction minimum lies out along the ⟨100⟩ direction, and in germanium it lies along ⟨111⟩; both are indirect gaps. Now put a photon into the picture. A photon of 1.12 eV has a wavelength of 1107 nm and therefore a momentum smaller than the width of the Brillouin zone by roughly three orders of magnitude — it carries plenty of energy and essentially no momentum. So a direct transition needs one photon and nothing else, while an indirect transition must find a phonon to supply the missing momentum at the same instant. Requiring two particles to arrive together instead of one is what makes indirect transitions orders of magnitude less probable, and every consequence in this section is that single fact propagating.

The same physics read four ways
PropertyDirect gap (GaAs)Indirect gap (Si)Why
Radiative recombinationEfficient — the dominant pathVery weak; heat wins insteadTwo-particle process needs a phonon as well as a photon
Minority-carrier lifetimeNanosecondsMicroseconds to millisecondsThe same low transition probability, read as a lifetime
Absorption near the gapStrong — absorbed within about 1 µmWeak — needs tens of micronsAbsorption is the same transition run backwards
Typical solar-cell thicknessA few µmAbout 180 µmThe wafer must be thick enough to absorb the light
Used asLEDs, lasers, high-speed photodiodesLogic, memory, detectors, solar cellsEmission needs direct; everything else does not
🎯 The indirect gap is not a defect — it is what makes silicon devices work
The usual framing is that silicon's indirect gap is a limitation, and for emission it certainly is: you cannot build a useful silicon LED, which is why every indicator lamp and every laser diode is a III-V compound, and why silicon photonics reaches for germanium or bonded III-V material when it needs a source. But turn the same fact over. A low radiative transition probability means a long minority-carrier lifetime, and lifetime is what sets the diffusion length L = √(Dτ). Take our silicon at N_D = 10¹⁷ cm⁻³ with D_n = 20.7 cm²/s and τ_n = 1 µs: L_n = √(20.7 × 10⁻⁶) = 4.55 × 10⁻³ cm = 45.5 µm. That is enormous compared with any device dimension — a bipolar base is under a micron, a solar cell's absorber is 180 µm — and it is the reason an injected carrier in silicon survives long enough to cross a base and be collected, and the reason a photo-generated carrier deep in a solar cell can still diffuse to the junction. Gallium arsenide, with nanosecond lifetimes, has diffusion lengths of a few microns and must absorb all its light within them. So the indirect gap costs silicon its ability to emit and buys it the ability to transport, and the second is what a transistor and a solar cell actually need. Nature did not hand silicon a defective band structure; it handed the industry the material whose weakness is in the one function it could import from elsewhere.

Drift, Mobility and Resistivity — and the Velocity Mobility Cannot Predict

Apply a field E and a carrier accelerates, scatters off a phonon or an ionised impurity, and starts again. Averaged over many scattering events the result is a steady drift velocity proportional to the field, v_d = µE, where the mobility µ has units of cm²/V·s and is nothing more than the proportionality constant. The drift current density is then J_drift = q(n µ_n + p µ_p)E = σE, which is Ohm's law with σ = q(n µ_n + p µ_p) and ρ = 1/σ. Work the reference sample: n-type silicon at N_D = 10¹⁷ cm⁻³, where the mobilities at that doping are µ_n = 800 and µ_p = 350 cm²/V·s. The electron term is σ_n = 1.6 × 10⁻¹⁹ × 10¹⁷ × 800 = 12.8 S/cm, so ρ = 1/12.8 = 0.0781 Ω·cm. Now compute the hole term and see what happens to it: σ_p = 1.6 × 10⁻¹⁹ × 2250 × 350 = 1.26 × 10⁻¹³ S/cm, which is fourteen orders of magnitude smaller. In extrinsic material the minority carriers contribute nothing whatever to conductivity, which is why every resistivity formula you will use in this paper has one term in it — and also why minority carriers, which are irrelevant here, become the entire story the moment a junction injects them.

What doping does to silicon's resistivity
SampleCarriers usedσ (S/cm)ρ (Ω·cm)
Intrinsic Sin = p = 1.5 × 10¹⁰, µ_n = 1350, µ_p = 4804.39 × 10⁻⁶ S/cm2.28 × 10⁵ Ω·cm
n-Si, N_D = 10¹⁷n = 10¹⁷, µ_n = 80012.8 S/cm0.0781 Ω·cm
RatioDoping of 2 parts per 10⁵ silicon atomsconductivity up 2.9 × 10⁶ timesResistivity falls by 2.9 × 10⁶
⚠️ `µE` is a velocity only while the field is small
The relation v_d = µE is a low-field linearisation, and treating it as a law produces answers that violate physics. In the reference sample at E = 1 kV/cm, v_d = 800 × 1000 = 8 × 10⁵ cm/s, comfortably below silicon's saturation velocity of about 1 × 10⁷ cm/s, so the linear form is fine and the material is ohmic. Now push to E = 50 kV/cm, a field a 1 V drop across 0.2 µm produces routinely inside a modern MOSFET. The formula predicts 800 × 50 000 = 4 × 10⁷ cm/s, four times the fastest a carrier in silicon can go. What actually happens is that above roughly 10⁴ V/cm carriers gain enough energy between collisions to emit optical phonons, the scattering rate rises with the field, and the velocity flattens at 1 × 10⁷ cm/s — so the effective mobility has collapsed to a fifth of its low-field value. Two things follow. First, a short-channel MOSFET in saturation has drain current roughly proportional to the overdrive V_GS − V_T rather than to its square, because the carriers are moving at v_sat regardless. Second, the useful number in a velocity-saturated device is a transit time, not a mobility: across a 1 µm channel at 10⁷ cm/s the transit takes 10⁻⁴/10⁷ = 10⁻¹¹ s = 10 ps, and no amount of extra field will shorten it. Quote a drift velocity without checking it against v_sat and you will eventually report a carrier moving faster than any carrier in silicon has ever moved.

Mobility itself is not a constant of the material but a sum of scattering channels, combined by Matthiessen's rule 1/µ = 1/µ_lattice + 1/µ_impurity. Lattice (phonon) scattering worsens as the crystal vibrates harder, so µ_lattice falls roughly as T^(−3/2). Ionised-impurity scattering does the opposite: a faster carrier is deflected less by a fixed charge, so µ_impurity rises roughly as T^(3/2) and falls as the impurity count rises. The two together give a mobility that peaks at some intermediate temperature and that falls with doping — which is exactly what the numbers in this chapter show, µ_n dropping from 1350 in lightly doped silicon to 800 at 10¹⁷ cm⁻³. Two examinable consequences. First, in a compensated sample the scattering counts the total ionised impurity concentration, not the net: our N_D = 5 × 10¹⁶, N_A = 2 × 10¹⁶ sample has n = 3 × 10¹⁶ but is scattered by all 7 × 10¹⁶ ionised centres, so its mobility is lower than that of a uniformly 3 × 10¹⁶ n-type sample. Second, in the extrinsic regime n is pinned at N_D while µ falls with temperature, so the resistivity of a doped semiconductor rises with temperature — a positive temperature coefficient, the opposite of the intrinsic behaviour everyone remembers, and the basis of the diffused silicon resistor's well-known positive drift.

Diffusion, and the Einstein Relation That Is Not an Empirical Fit

The second transport mechanism needs no field at all. If carriers are more concentrated in one place than another, random thermal motion carries more of them out of the crowded region than into it, and the net flux is proportional to the concentration gradient. Fick's law gives the particle flux, and multiplying by charge gives the current: J_n,diff = +q D_n (dn/dx) and J_p,diff = −q D_p (dp/dx). The signs are worth pausing on, because they are a standing source of lost marks. Holes diffuse down their gradient and carry positive charge with them, so a positive gradient gives a negative current — hence the minus sign. Electrons also diffuse down their gradient, but they carry negative charge, so the two sign reversals cancel and the electron diffusion current comes out with a plus sign. Write both down once, in that form, and check them against the physics rather than trying to remember which one has the minus.

🎯 Why `D/µ` must equal `kT/q`, and what it is worth numerically
Drift and diffusion look like unrelated mechanisms, so the fact that one constant determines the other looks like a coincidence. It is not, and the argument is short enough to reconstruct in the exam hall. Take a bar of silicon whose doping varies along its length, sitting on the bench in the dark with no wires attached. It is in equilibrium, so no current flows anywhere — not zero net current made of two large cancelling parts by accident, but zero because equilibrium forbids any net flow. Yet there is certainly a concentration gradient, so there is certainly a diffusion current. The only thing that can cancel it is a drift current, which means the non-uniform doping must have generated an internal field all by itself. Write J_n = q µ_n n E + q D_n (dn/dx) = 0, substitute the Boltzmann relation between n and the potential, and the n cancels out to leave exactly D_n/µ_n = kT/q. So the Einstein relation is not a measured coincidence; it is the price of consistency between Ohm's law and Fick's law under Boltzmann statistics. Numerically, kT/q = 0.0259 V at 300 K, so D_n = 0.0259 × 800 = 20.7 cm²/s and D_p = 0.0259 × 350 = 9.07 cm²/s in our reference sample. Note the byproduct, which is examinable in its own right: a graded doping profile carries a built-in field even with no bias applied, E = (kT/q)(1/n)(dn/dx), and that field is exactly what a bipolar transistor's graded base uses to hurry carriers across.

Now compare the two mechanisms on real numbers, because the comparison is what tells you which one to keep in a given region of a device. Suppose an excess electron concentration falls linearly from Δn = 10¹⁵ cm⁻³ at x = 0 to zero at x = 1 µm. The gradient is 10¹⁵/10⁻⁴ = 10¹⁹ cm⁻⁴, so J_diff = q D_n (dn/dx) = 1.6 × 10⁻¹⁹ × 20.7 × 10¹⁹ = 33.2 A/cm² — a very large current density from a gentle-sounding gradient, and the whole reason diffusion cannot be neglected. Now let the same 10¹⁵ cm⁻³ of electrons sit in a modest field of 10 V/cm: J_drift = q n µ_n E = 1.6 × 10⁻¹⁹ × 10¹⁵ × 800 × 10 = 1.28 A/cm², which is 26 times smaller. That ratio is the structural fact behind every diode and bipolar transistor calculation you will do. In the quasi-neutral regions the majority carriers screen out any field so effectively that only a few volts per centimetre survive, and minority-carrier transport there is pure diffusion. In the depletion region the field is tens of kilovolts per centimetre and drift dominates completely. Devices are analysed region by region not for convenience but because in each region one of these two terms is genuinely negligible.

Drift against diffusion, side by side
PropertyDriftDiffusion
Driven byElectric field EConcentration gradient dn/dx
Electron current+q n µ_n E+q D_n (dn/dx)
Hole current+q p µ_p E−q D_p (dp/dx)
Carried mainly byMajority carriersMinority carriers, in a device
Dominates inDepletion regions, resistors, channelsQuasi-neutral regions: diode sides, BJT base
Reference value here1.28 A/cm² at 10 V/cm33.2 A/cm² over 1 µm

Generation and Recombination: Lifetime, and Why Minority Carriers Run Everything

At equilibrium generation and recombination are both happening constantly and at exactly equal rates, which is what np = n_i² records. Disturb the balance — shine light on the sample, or forward-bias a junction into it — and an excess population Δn = Δp appears, decaying back by recombination at a rate Δn/τ where τ is the carrier lifetime. Three recombination paths compete. Band-to-band recombination is the direct fall from E_c to E_v and, as the last section explained, is feeble in an indirect-gap material. Shockley–Read–Hall recombination goes through a trap level near midgap contributed by a defect or an unwanted impurity, and in silicon it is the dominant path by a wide margin. Auger recombination hands the energy to a third carrier instead of a photon and only matters at very high carrier density, which is why it limits heavily doped emitters and high-injection solar cells. Under low-level injection — Δn much smaller than the majority concentration — the decay is a clean single exponential Δn(t) = Δn(0) exp(−t/τ), and that assumption is what makes every analytical device model in this syllabus tractable.

Work an illumination example on the reference sample, N_D = 10¹⁷ cm⁻³ with τ = 1 µs. Illuminate it uniformly at an optical generation rate G_L = 10²⁰ cm⁻³s⁻¹. In steady state generation equals recombination, so G_L = Δn/τ, giving Δn = Δp = 10²⁰ × 10⁻⁶ = 10¹⁴ cm⁻³. Check the low-injection assumption first, because it is the assumption that could invalidate everything after it: Δn/n_0 = 10¹⁴/10¹⁷ = 0.001, so the majority population changed by one part in a thousand and low-level injection holds comfortably. The photoconductivity is Δσ = q(Δn µ_n + Δp µ_p) = 1.6 × 10⁻¹⁹ × 10¹⁴ × (800 + 350) = 0.0184 S/cm, against a dark conductivity of 12.8 S/cm — a change of just 0.14 per cent. Switch the light off and the excess decays with a 1 µs time constant, reaching a tenth of its value in τ ln 10 = 2.30 µs.

🎯 The same 10¹⁴ excess is 0.1 per cent to the electrons and 44 billion times over for the holes
Generation always makes carriers in pairs, so Δn = Δp exactly — charge neutrality in the bulk demands it. But the two populations they are added to are wildly different. In the reference sample n_0 = 10¹⁷ and p_0 = 2250 cm⁻³, so the identical excess of 10¹⁴ cm⁻³ is a 0.1 per cent perturbation of the electrons and a factor of 10¹⁴/2250 = 4.4 × 10¹⁰ — forty-four billion times — for the holes. That asymmetry is the single most useful structural fact in device physics, and it explains a long list of things at once. It is why every device equation in the next chapter is written in terms of minority-carrier concentrations: the majority carriers barely notice what is happening, so they carry no information, while the minority population is a sensitive amplifier of the disturbance. It is why a diode's current is set by minority injection across the junction rather than by the vastly larger majority populations on either side. It is why a photodetector is built as a reverse-biased junction, where minority carriers are collected against a near-zero background, rather than as a bulk photoconductor, where — as computed above — the whole optical signal moves the conductivity by a seventh of a per cent. Look for the small population, because that is where the signal is.

One warning about τ itself, because it is the parameter students most often treat as a material constant and it is nothing of the sort. Lifetime is inversely proportional to the density of recombination centres, so it is set by how clean the crystal is and by what has been deliberately put into it. Float-zone silicon can reach milliseconds; the same wafer contaminated with gold or platinum drops to nanoseconds, and that contamination is done on purpose in fast recovery diodes, where a long lifetime would mean a long reverse-recovery time and switching losses. Surfaces are recombination centres too — a free surface has dangling bonds and is described by a surface recombination velocity — so a small or thin device can be limited entirely by its surfaces rather than its bulk, which is why passivation layers exist and why a solar cell's rear surface field is worth the extra process step. When a question quotes a lifetime, it is quoting a fabrication choice, not a property of silicon.

Poisson and Continuity: The Two Equations That Split Every Device in Half

Poisson's equation relates the field to the charge that produces it: dE/dx = ρ/ε_s, or equivalently d²φ/dx² = −ρ/ε_s, with ρ = q(p − n + N_D − N_A). For silicon ε_s = 11.7 × 8.854 × 10⁻¹⁴ = 1.036 × 10⁻¹² F/cm. Inside a depletion region the free carriers have been swept out, so ρ is just the ionised dopant charge and the field profile is a straight line whose slope you can compute in one step. For N_D = 10¹⁶ cm⁻³, dE/dx = qN_D/ε_s = 1.6 × 10⁻¹⁹ × 10¹⁶/1.036 × 10⁻¹² = 1.54 × 10⁹ V/cm², which is 154 kV/cm for every micron of depletion. That single number tells you why depletion regions are fractions of a micron wide rather than tens of microns: a volt or two of band bending is used up almost immediately. The same equation, applied across a gate oxide instead, is what gives the MOS capacitor of the next chapter its Q = C_ox V behaviour.

The continuity equations are conservation of carriers written per unit volume: the rate at which electrons pile up in a slice equals what flows in minus what flows out, plus what is generated minus what recombines. In one dimension, ∂n/∂t = (1/q)(∂J_n/∂x) + (G_n − R_n) and ∂p/∂t = −(1/q)(∂J_p/∂x) + (G_p − R_p) — again the sign difference is only the charge of the carrier. Substitute the drift-diffusion expressions for J, keep only diffusion because we are in a quasi-neutral region, use R − G = Δp/τ_p for low-level injection, and look for a steady state. Everything collapses to the minority-carrier diffusion equation D_p (d²Δp/dx²) = Δp/τ_p, whose solution is Δp(x) = Δp(0) exp(−x/L_p) with L_p = √(D_p τ_p). That exponential, and that length, are the answer to almost every diode question there is. For our sample, L_p = √(9.07 × 10⁻⁶) = 3.01 × 10⁻³ cm = 30.1 µm and L_n = √(20.7 × 10⁻⁶) = 45.5 µm, both with τ = 1 µs. Notice that L_n > L_p purely because D_n > D_p, which traces all the way back to electrons being more mobile than holes.

🎯 Ten orders of magnitude between two time constants, and that is why the two-region split works
Every diode, transistor and MOS analysis in the next chapter starts by declaring one region 'depleted' and the rest 'quasi-neutral', and then applying Poisson's equation in the first and the continuity equation in the second. That looks like a modelling convenience. It is actually a statement about two time constants that are ten orders of magnitude apart, and it is worth computing them once. The dielectric relaxation time τ_d = ε_s ρ is how long the majority carriers take to rearrange themselves and screen out any field: for our sample, τ_d = 1.036 × 10⁻¹² × 0.0781 = 8.1 × 10⁻¹⁴ s, that is 81 femtoseconds. The minority-carrier lifetime is 1 µs. The ratio is 1.2 × 10⁷. So on any time scale a device actually operates on, the majority carriers have already finished screening — which is exactly what 'quasi-neutral' means — while the minority carriers are still slowly diffusing and recombining, which is what the continuity equation tracks. The two physics problems do not interfere because they happen in different centuries of the time axis. The same separation has a length version: the Debye length L_D = √(ε_s kT/q²N_D) = 13 nm for N_D = 10¹⁷ cm⁻³, and it is the distance over which the depletion edge is actually smeared out rather than abrupt. The depletion approximation is good whenever the depletion width is much larger than L_D, and for the junction worked in the next chapter that is 0.33 µm against 13 nm — a factor of 25, comfortably safe. Both approximations you will lean on all chapter are validated by one ratio each, and both ratios are large.
Which equation to reach for, and where
EquationWhat it enforcesWhere it is used in this syllabus
Poisson, dE/dx = ρ/ε_sGauss's law — charge makes fieldDepletion width, peak field, junction capacitance, MOS threshold
Continuity, ∂p/∂t = −(1/q)∂J_p/∂x + G − RCarriers are neither created nor lost unaccountedDiode saturation current, BJT base transport, photodiode response
Drift-diffusion, J_n = qµ_n nE + qD_n dn/dxHow carriers actually moveSubstituted into continuity to get everything else
Δp = Δp(0)exp(−x/L_p)The steady-state solution of the three above30.1 µm here — the length every diode answer contains
ℹ️ How this section is examined in the EC paper
The Electronics and Communication Engineering paper is 65 questions for 100 marks in 180 minutes, of which General Aptitude is 10 questions carrying 15 marks. The marking asymmetry is what should shape your attempt order here. A wrong MCQ costs one third of the question's value — so a third of a mark on a 1-mark question and two thirds on a 2-mark one — while MSQ and NAT questions carry no negative marking at all. Electronic Devices is unusually well suited to that structure, because most of its questions are short numerical ones with a single defensible answer: a built-in potential, a depletion width, a diffusion length, a carrier concentration. On a NAT question of that kind there is no reason on earth to leave the box empty, since a computed answer that might be wrong costs exactly what a blank costs. On an MCQ, by contrast, the distractors in this section are usually built from a specific slip — forgetting the square in np = n_i², using the net rather than total impurity concentration for mobility, or quoting µE past velocity saturation — so eliminating options by checking units and orders of magnitude is worth more than recomputing. Write the given constants at the top of your rough sheet before you start: kT/q, n_i, ε_s, and q. Half the arithmetic errors in this section are transcription errors from hunting for a constant halfway through a calculation.

Key takeaways

  • A band is N ordinary atomic levels packed 10⁻²² eV apart, and the filling of the topmost band — not the gap alone — decides metal, semiconductor or insulator. Because n_i carries exp(−E_g/2kT), silicon's 1.12 eV puts its intrinsic concentration 1700 times below germanium's and 7000 times above gallium arsenide's.
  • Doping moves only the Fermi level; E_c, E_v and E_g stay put. With N_D = 10¹⁷ cm⁻³ in silicon, n = 10¹⁷, p = n_i²/n = 2250 cm⁻³ and E_F − E_i = 0.407 eV. Every donor added pushes holes down by the same factor it pushes electrons up, because np = n_i² is fixed.
  • An indirect gap needs a phonon as well as a photon, so silicon cannot emit usefully — but the same low transition rate gives it microsecond lifetimes and a 45.5 µm electron diffusion length, which is precisely what a transistor base and a solar-cell absorber need.
  • ρ = 1/q n µ_n for extrinsic material — the minority term is fourteen orders down. Doping silicon to 10¹⁷ cm⁻³ cuts resistivity from 2.28 × 10⁵ to 0.0781 Ω·cm. But v_d = µE is a low-field form only: above about 10⁴ V/cm the velocity saturates near 10⁷ cm/s, so a 1 µm transit takes 10 ps no matter how hard you push.
  • D/µ = kT/q is forced by equilibrium, not fitted: in a non-uniformly doped bar with no current, drift must exactly cancel diffusion. At 300 K that gives D_n = 20.7 and D_p = 9.07 cm²/s, and a 1 µm gradient of 10¹⁵ cm⁻³ carries 33.2 A/cm² — 26 times the drift current at 10 V/cm.
  • Generation makes pairs, so Δn = Δp — but 10¹⁴ cm⁻³ of excess is 0.1 per cent of the electrons and 4.4 × 10¹⁰ times the equilibrium holes. The signal always lives in the minority population, which is why every device equation is written in minority-carrier terms.
  • Poisson governs the space-charge region and continuity governs the quasi-neutral region, and the split is legitimate because the dielectric relaxation time (81 fs here) is ten million times shorter than the minority lifetime (1 µs). The depletion approximation is likewise safe because W = 0.33 µm dwarfs the 13 nm Debye length.

Practice questions (8)

Attempt each one before opening the answer. Every explanation names the tempting wrong option as well as the right one, because that is where marks are lost.

  1. A silicon crystal at 300 K receives both 8 x 10^16 cm^-3 of phosphorus and 3 x 10^16 cm^-3 of boron, every impurity atom being ionised. Taking the intrinsic carrier concentration as 1.5 x 10^10 cm^-3, what equilibrium hole concentration does the compensated material have?

    1. 2813 cm^-3
    2. 2045 cm^-3
    3. 4500 cm^-3
    4. 1.5 x 10^10 cm^-3
    Show answer

    Answer: C — 4500 cm^-3

    Donors and acceptors do not annihilate one another, but charge neutrality sees only the net, so the electron concentration is 8 x 10^16 minus 3 x 10^16 = 5 x 10^16 cm^-3. The mass-action law then gives the holes as the square of the intrinsic concentration divided by that, 2.25 x 10^20 over 5 x 10^16 = 4500 cm^-3. Using the donor concentration alone gives 2813 cm^-3 and ignores the acceptors entirely; adding the two dopings to get 1.1 x 10^17 gives 2045 cm^-3 and confuses the count that matters for neutrality with the count that matters for impurity scattering. Quoting the intrinsic value itself is the deepest error, because the intrinsic concentration is a property of the material and the temperature and is not changed by any doping.
  2. In an n-type silicon bar at 300 K the electron mobility is 1200 cm^2/V-s. An excess electron population falls linearly from 4 x 10^15 cm^-3 at one face to zero over a distance of 2 micrometre. Taking kT/q = 0.0259 V and q = 1.6 x 10^-19 C, what electron diffusion current density flows?

    1. 99.5 A/cm^2
    2. 3840 A/cm^2
    3. 9.95 A/cm^2
    4. 49.7 A/cm^2
    Show answer

    Answer: A — 99.5 A/cm^2

    The diffusion constant is not given and has to be built first: the Einstein relation makes D equal to the thermal voltage times the mobility, 0.0259 times 1200 = 31.1 cm^2/s. Next convert the gradient into the units the formula wants: 4 x 10^15 cm^-3 falling over 2 micrometre, which is 2 x 10^-4 cm, is a gradient of 2 x 10^19 cm^-4. Finally the electron diffusion current density is q times D times the gradient, 1.6 x 10^-19 times 31.1 times 2 x 10^19 = 99.5 A/cm^2. The value 3840 A/cm^2 comes from putting the mobility itself where the diffusion constant belongs, which is dimensionally wrong by a factor of the thermal voltage and inflates the answer roughly forty times.
  3. A bar of n-type silicon is made with a donor concentration that falls steadily along its length. It lies in the dark on a bench with nothing connected to either end, in thermal equilibrium. What is happening inside it?

    1. A steady diffusion current flows, because a concentration gradient always drives one
    2. A steady drift current flows, driven by an internal field
    3. There is no net current and no internal field, because the bar is electrically neutral everywhere
    4. There is no net current, but an internal field exists that exactly cancels the diffusion current
    Show answer

    Answer: D — There is no net current, but an internal field exists that exactly cancels the diffusion current

    Equilibrium forbids any net flow, so whatever diffusion the gradient drives must be cancelled by something, and the only candidate is drift. The non-uniform doping therefore generates an internal field all by itself, of size (kT/q) times one over n times dn/dx, and setting the total electron current to zero with the Boltzmann relation substituted is precisely the argument that yields D over mu equal to kT/q. Saying that a gradient must drive a current is the tempting reading, and it forgets that equilibrium is a statement about the total. Saying there is no field at all confuses neutrality of charge with absence of a potential gradient; the bar is very nearly neutral and still carries a built-in field, which is what a graded transistor base uses to hurry carriers across.
  4. A gallium arsenide solar cell absorbs almost all the light it can use within a few micrometres, while a silicon cell needs a wafer about 180 micrometre thick to do the same job. What is the physical reason for the difference?

    1. The larger band gap of silicon leaves fewer photons in the spectrum with enough energy
    2. Silicon has an indirect gap, so near-gap absorption needs a phonon as well as a photon and is far less probable
    3. The higher refractive index of silicon reflects most of the incident light at the front surface
    4. The longer minority-carrier lifetime of silicon forces a thicker absorber to hold the carriers
    Show answer

    Answer: B — Silicon has an indirect gap, so near-gap absorption needs a phonon as well as a photon and is far less probable

    A photon carries plenty of energy and almost no momentum, so a transition between band extremes that sit at different crystal momenta cannot happen with a photon alone; a phonon must arrive at the same instant to supply the missing momentum. Requiring two particles instead of one makes the transition orders of magnitude less probable, so the absorption coefficient near the gap is small and the wafer must be thick. The claim that silicon has the larger band gap is backwards: silicon sits at 1.12 eV and gallium arsenide at 1.42 eV, so silicon can in fact use more of the spectrum, not less. The long lifetime is a consequence of the same low transition rate rather than a cause of the thickness, and it helps rather than hurts, since it gives carriers generated deep in the wafer time to diffuse to the junction.
  5. Electrons in a silicon sample have a low-field mobility of 1000 cm^2/V-s, and the saturation velocity of electrons in silicon is about 1 x 10^7 cm/s. What drift velocity do the electrons reach in a field of 80 kV/cm?

    1. About 1 x 10^7 cm/s
    2. 8 x 10^7 cm/s
    3. 8 x 10^6 cm/s
    4. 1.25 x 10^6 cm/s
    Show answer

    Answer: A — About 1 x 10^7 cm/s

    The product of mobility and field, 1000 times 8 x 10^4 = 8 x 10^7 cm/s, is eight times the fastest an electron in silicon has ever travelled, which is the signal that the low-field linearisation has been pushed outside its range. Above roughly 10^4 V/cm carriers gain enough energy between collisions to emit optical phonons, the scattering rate climbs with the field, and the velocity flattens at about 1 x 10^7 cm/s, so that is the answer. Quoting 8 x 10^7 cm/s is exactly the error of treating v = mu·E as a law rather than as a small-signal approximation, and the effective mobility at this field has in fact collapsed to about an eighth of its low-field value.
  6. An n-type silicon sample doped at 5 x 10^16 cm^-3, with an electron mobility of 1000 and a hole mobility of 400 cm^2/V-s, is illuminated uniformly so that electron-hole pairs appear at 5 x 10^19 cm^-3 per second. The excess-carrier lifetime is 2 microsecond and q = 1.6 x 10^-19 C. By what percentage does the conductivity rise above its dark value?

    1. 0.20 per cent
    2. 0.40 per cent
    3. 2.80 per cent
    4. 0.28 per cent
    Show answer

    Answer: D — 0.28 per cent

    In steady state generation balances recombination, so the excess of each carrier is the generation rate times the lifetime, 5 x 10^19 times 2 x 10^-6 = 1 x 10^14 cm^-3, and the pairs appear together so the excess electron and hole populations are equal. The extra conductivity is q times the excess times the sum of the two mobilities, 1.6 x 10^-19 times 1 x 10^14 times 1400 = 0.0224 S/cm. The dark conductivity is carried by the majority electrons alone, 1.6 x 10^-19 times 5 x 10^16 times 1000 = 8.0 S/cm, so the rise is 0.0224/8 = 0.28 per cent. Counting only the electron mobility in the photoconductivity gives 0.20 per cent and quietly drops the holes, which contribute nothing in the dark but a full 400/1400 of the change under light.
  7. Inside a depleted region of silicon doped at 2 x 10^16 cm^-3 the free carriers have been swept out, so the electric field varies linearly with position. Taking the permittivity of silicon as 1.04 x 10^-12 F/cm and q = 1.6 x 10^-19 C, by how much does the field change across 0.1 micrometre of that region?

    1. 3.08 kV/cm
    2. 308 kV/cm
    3. 30.8 kV/cm
    4. 15.4 kV/cm
    Show answer

    Answer: C — 30.8 kV/cm

    With the mobile carriers gone the charge density is just the ionised dopant charge, so Poisson gives a field slope of q times the doping divided by the permittivity: 1.6 x 10^-19 times 2 x 10^16 = 3.2 x 10^-3, divided by 1.04 x 10^-12 gives 3.08 x 10^9 V per cm squared. A distance of 0.1 micrometre is 1 x 10^-5 cm, so the field changes by 3.08 x 10^9 times 1 x 10^-5 = 3.08 x 10^4 V/cm, that is 30.8 kV/cm. The value 308 kV/cm follows from treating 0.1 micrometre as 10^-4 cm, which is a whole micrometre, and it is the commonest unit slip in this calculation; the answer 15.4 kV/cm halves the slope, as if the triangular field profile entered where the slope itself was asked for.
  8. A silicon crystal at 300 K is doped with donors at 1 x 10^16 cm^-3, fully ionised, and left in thermal equilibrium in the dark. Which of the following statements about it are correct?

    1. The intrinsic carrier concentration of the material is unaffected by the doping
    2. The conduction and valence band edges and the band gap stay where they were; only the Fermi level moves
    3. The hole population falls below its intrinsic value by the same factor the electron population rises above it
    4. The minority holes contribute roughly the same share of the conductivity as they did in intrinsic material
    Show answer

    Answer: A — The intrinsic carrier concentration of the material is unaffected by the doping; B — The conduction and valence band edges and the band gap stay where they were; only the Fermi level moves; C — The hole population falls below its intrinsic value by the same factor the electron population rises above it

    The intrinsic concentration depends on the band gap, the effective densities of states and the temperature, and on nothing else, so doping cannot change it any more than adding salt changes the boiling point of pure water. Doping adds no states inside the bands and does not move the band edges; the only thing that moves is the Fermi level, which climbs towards the conduction edge in n-type material. Because the product of the two populations is pinned at the square of the intrinsic value, any factor by which the electrons rise is exactly the factor by which the holes fall. The claim about the holes carrying a comparable share of the conductivity is the one to reject: here the electron term outweighs the hole term by around fourteen orders of magnitude, which is why every extrinsic resistivity formula has a single term in it.