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Slides 110–113: single quantum well, quantised levels, two-dimensional density of states, worked example on the levels of a GaAs/AlGaAs well, multiple quantum wells.

10.1 Key relations

A layer of a narrow-gap semiconductor thinner than about 20 nm, sandwiched between wide-gap barriers, confines electrons along \(x\) (slide 110). The motion along \(x\) is quantised, while the motion in the plane (\(y\), \(z\)) stays free (slide 111):

\[ E_n=E_c+\frac{h^2n^2}{8m_e^*d^2}+\frac{\hbar^2k_y^2}{2m_e^*}+\frac{\hbar^2k_z^2}{2m_e^*},\qquad n=1,2,3,\dots \]

The first term is the infinite-well result. Each level \(E_n\) starts a sub-band whose density of states per unit area is constant, \(g_{2D}=m^*/\pi\hbar^2\). The total DOS is a staircase that touches the bulk \(\sqrt E\) curve at each step (slide 110c). Carriers collect at the bottom of the lowest sub-band, so the emission is narrower and occurs at

\[ h\nu=E_{g1}+E_1+E_1' \]

(electron plus hole confinement energies). The well width becomes a design parameter for the wavelength.

For a well of finite depth \(\Delta E_c\) the wavefunction leaks into the barriers and the levels are lower. They follow from matching \(\psi\) and \(\psi'/m^*\) at the interfaces:

\[ \text{even: }\ \frac{k}{m_w}\tan\frac{kd}{2}=\frac{\kappa}{m_b},\qquad \text{odd: }\ -\frac{k}{m_w}\cot\frac{kd}{2}=\frac{\kappa}{m_b},\qquad k=\frac{\sqrt{2m_wE}}{\hbar},\ \ \kappa=\frac{\sqrt{2m_b(\Delta E_c-E)}}{\hbar}. \]

10.2 Finite-well solver

A finite well always has at least one bound state, however thin. Make the well narrow (2–3 nm): \(E_1\) approaches the top, most of the wavefunction sits in the barriers, and the infinite-well formula becomes useless.

10.3 Worked example (slide 112), recomputed

GaAs well between Al₀.₄Ga₀.₆As barriers, \(\Delta E_c=0.30\) eV, \(m_e^*=0.067m_e\), \(d=12\) nm. Find \(E_1\), \(E_2\) for an infinite well and compare with the finite-well values 0.022, 0.088 and 0.186 eV quoted on the slide.

Show the Python
d, V0 = 12e-9, 0.30
pd.DataFrame({
    "infinite well (slide: 0.039, 0.156, 0.351)": sl.qw_infinite([1, 2, 3], d, 0.067),
    "finite well, m* = 0.067 everywhere": sl.qw_finite(d, V0, 0.067)[:3],
    "finite well, barrier mass 0.0919 (Al₀.₄Ga₀.₆As)": sl.qw_finite(d, V0, 0.067, 0.0919)[:3],
    "finite well, m* = 0.080 everywhere": sl.qw_finite(d, V0, 0.080)[:3],
    "slide (finite)": [0.022, 0.088, 0.186]}, index=["n = 1", "n = 2", "n = 3"]).round(4)
Table 10.1: Electron levels (eV above E_c) of a 12 nm GaAs well with ΔE_c = 0.30 eV.
infinite well (slide: 0.039, 0.156, 0.351) finite well, m* = 0.067 everywhere finite well, barrier mass 0.0919 (Al₀.₄Ga₀.₆As) finite well, m* = 0.080 everywhere slide (finite)
n = 1 0.0390 0.0256 0.0242 0.0222 0.022
n = 2 0.1559 0.1006 0.0960 0.0875 0.088
n = 3 0.3508 0.2161 0.2104 0.1902 0.186

The infinite-well numbers match the slide. The finite-well values quoted on the slide are about 15 % lower than a direct solution with \(m^*=0.067m_e\), even with the heavier barrier mass of Al₀.₄Ga₀.₆As. They correspond to an effective mass close to \(0.08m_e\) (non-parabolicity raises the mass of confined electrons, which may be the origin). The ratio infinite/finite is 1.5 for the textbook parameters instead of the quoted 1.8. Either way the conclusion holds: the third level is bound in the real well but above the barrier in the infinite model.

Show the Python
x = np.linspace(-20e-9, 20e-9, 800)
lev = sl.qw_finite(d, V0, 0.067)
fig, ax = plt.subplots(figsize=(7.5, 4))
ax.plot(x*1e9, np.where(abs(x) <= d/2, 0, V0), color=sl.INK, lw=2)
for n, E in enumerate(lev):
    psi = sl.qw_wavefunction(x, E, d, V0, 0.067, parity=n % 2)
    ax.plot(x*1e9, E + 0.035*psi, label=f"E_{n+1} = {E*1e3:.1f} meV")
    ax.hlines(E, -d/2*1e9, d/2*1e9, color=sl.INK2, lw=0.8, ls=":")
for E in sl.qw_infinite([1, 2, 3], d, 0.067):
    ax.hlines(E, -d/2*1e9, d/2*1e9, color=sl.PALETTE[7], lw=1, ls="--")
ax.set(xlabel="x (nm)", ylabel="E − E_c (eV)", ylim=(-0.02, 0.4)); ax.legend(fontsize=8, loc="upper right"); plt.show()
Figure 10.1: The 12 nm GaAs/Al₀.₄Ga₀.₆As well: potential, finite-well levels and envelope wavefunctions (drawn at their energies). Red dashed: infinite-well levels.

10.4 Tuning the wavelength with the well width

The emitted photon energy is \(E_{g1}+E_1+E_1'\). For GaAs/Al₀.₃Ga₀.₇As (\(\Delta E_g=0.374\) eV, split 67:33 between CB and VB, heavy-hole mass \(0.5m_e\)):

Show the Python
dEg = 1.247*0.3; dEc, dEv = 0.67*dEg, 0.33*dEg
widths = np.linspace(2e-9, 25e-9, 60)
E1 = np.array([sl.qw_finite(w, dEc, 0.067, 0.067 + 0.083*0.3)[0] for w in widths])
H1 = np.array([sl.qw_finite(w, dEv, 0.50, 0.50 + 0.14*0.3)[0] for w in widths])
Eph = 1.424 + E1 + H1
fig, ax = plt.subplots(figsize=(7.5, 3.6))
ax.plot(widths*1e9, sl.wavelength_from_eV(Eph)*1e9, label="quantum well")
ax.axhline(sl.wavelength_from_eV(1.424)*1e9, color=sl.INK2, ls="--", lw=1.2, label="bulk GaAs")
ax.set(xlabel="well width d (nm)", ylabel="emission wavelength (nm)"); ax.legend(); plt.show()
Figure 10.2: Ground-state transition of a GaAs/Al₀.₃Ga₀.₇As quantum well (finite-well electron and heavy-hole levels, 300 K) versus well width. Thin wells push the emission from 870 nm toward 780 nm, the wavelength of CD lasers.

10.5 The two-dimensional density of states (slide 110c)

Show the Python
E = np.linspace(0, 0.4, 2000)
bulk = sl.dos_3d(E, 0.067)
step = 0.067*sl.me/(np.pi*sl.hbar**2*d)*sl.qe        # m^-3 eV^-1 per sub-band
stair_fin = step*np.sum([E >= e for e in sl.qw_finite(d, V0, 0.067)], axis=0)
stair_inf = step*np.sum([E >= e for e in sl.qw_infinite(np.arange(1, 6), d, 0.067)], axis=0)
fig, ax = plt.subplots(figsize=(7.5, 3.6))
ax.plot(E*1e3, bulk/1e24, label="bulk (3D)", color=sl.INK2, ls="--")
ax.plot(E*1e3, stair_inf/1e24, label="QW, infinite-well levels", lw=1.4)
ax.plot(E*1e3, stair_fin/1e24, label="QW, finite-well levels", lw=2.2)
ax.axvline(V0*1e3, color=sl.GRID, lw=2); ax.text(V0*1e3 + 3, 0.5, "top of the well", fontsize=8)
ax.set(xlabel="E − E_c (meV)", ylabel="g(E) (10²⁴ m⁻³ eV⁻¹)"); ax.legend(fontsize=8); plt.show()
Figure 10.3: Density of states per unit volume of a 12 nm GaAs well (staircase, each step m*/(πħ²d) at a finite-well level) compared with bulk GaAs. Each step lies on the bulk √E curve when the infinite-well levels are used; the finite well steps slightly earlier.

The step-like DOS puts a finite number of states right at the band edge instead of zero. Carriers pile up at \(E_1\), the spectrum narrows, and less carrier density is needed to reach a given emission rate (or optical gain in lasers, Ch. 4).

10.6 Single versus multiple quantum wells (slide 113)

One thin well holds a limited number of carriers. At high current it saturates, carriers overflow into the barriers and the light output becomes sublinear. Spreading the current over \(N\) wells delays saturation. A minimal model gives each well a light output \(P_w=I_w/(1+I_w/I_\text{sat})\):

Show the Python
I = np.linspace(0, 10, 300)                          # in units of the saturation current of one well
fig, ax = plt.subplots(figsize=(7, 3.6))
for N in (1, 3, 5, 10):
    ax.plot(I, N*(I/N)/(1 + I/N), label=f"{N} well{'s' if N > 1 else ''}")
ax.plot(I, I, ":", color=sl.INK2, lw=1.2, label="ideal, linear")
ax.set(xlabel="current I / I_sat", ylabel="light output (a.u.)", ylim=(0, 10)); ax.legend(fontsize=8); plt.show()
Figure 10.4: Light output versus current for a single QW and for MQWs (model: each well saturates as I_w/(1 + I_w/I_sat), current shared equally). This reproduces the trend sketched on slide 113.

In real InGaN MQWs the holes are heavy and travel poorly, so most of the light comes from the well nearest the p side. The extra wells help less than this model suggests. This is one of the active research topics around “efficiency droop”.

  • Shooting or matrix method. Solve the Schrödinger equation on a grid (finite differences, scipy.linalg.eigh_tridiagonal) for an arbitrary potential: a graded well, two coupled wells (splitting into bonding/antibonding states), or a superlattice (minibands, compare with the Kronig–Penney model of Section 1.2).
  • Quantum-confined Stark effect. Add a field \(F\) to the potential, \(V(x)-eFx\), and compute the red shift of \(E_1\). This is the principle of electro-absorption modulators (Ch. 6) and the origin of the wavelength shift in polar InGaN wells.
  • Excitons. In a QW the electron–hole binding energy rises from 4 meV (bulk GaAs) to about 10 meV, which makes room-temperature excitons visible in absorption. Estimate it with a 2D hydrogen model.
  • Quantum dots and wires. Confine in two or three directions: the DOS becomes \(1/\sqrt E\) peaks or delta functions. Plot all four DOS types side by side.
  • Kasap, Optoelectronics and Photonics, sec. 3.12; Schubert, Light-Emitting Diodes, ch. 7 and 12.
  • P. Harrison and A. Valavanis, Quantum Wells, Wires and Dots, 4th ed. (Wiley, 2016): numerical methods with code.
  • nextnano and the open-source Schrödinger–Poisson solver aestimo (Python) for real heterostructures.

10.7 Try it yourself

  1. With the solver, find the width at which a GaAs well with \(\Delta E_c=0.3\) eV acquires a third bound level.
  2. Compute \(E_1\) for an In₀.₂Ga₀.₈N well of 3 nm (\(m^*=0.2\), \(\Delta E_c\approx0.25\) eV). How much does confinement shift the emission?
  3. Show that the number of bound states of a finite well is \(\lceil (d/\pi\hbar)\sqrt{2m^*\Delta E_c}\,\rceil\) (equal masses).
  4. Why must the barrier height exceed a few \(k_BT\) for a QW LED to work at room temperature?