Quantum Dot Calculator
Emission wavelength and bandgap from quantum dot size (Brus equation).
About this calculator
This calculator uses a simplified version of the Brus equation to predict how a semiconductor quantum dot's emission color shifts with its physical size — the core phenomenon behind quantum dot displays and biological imaging tags. Shrinking a semiconductor crystal below a few nanometers confines its electrons and holes to a smaller space, which (per the particle-in-a-sphere model) raises their kinetic energy — this calculator computes that confinement energy as h²/(8m*R²) using your entered effective mass ratio and dot radius. An attractive Coulomb term between the confined electron and hole is then subtracted, since electron-hole attraction lowers the effective bandgap; this term scales inversely with radius and with the material's dielectric constant.
The two are added to the bulk bandgap to get an effective bandgap, which is floored at the bulk value — the calculator will never report a bandgap smaller than the bulk semiconductor's, since real quantum confinement only raises the gap. From the effective bandgap it derives emission wavelength via E = hc/λ and buckets the result into a rough visible-color classification. This model works reasonably well for weak-to-intermediate confinement in materials like CdSe, but it's a simplified single-band approximation — it omits valence-band mixing, dielectric-mismatch (image charge) effects, and surface-state trapping that shift real quantum dot emission, so treat the output as a first-order design estimate rather than a lab-grade prediction.
Inputs
Results
Emission Wavelength (nm)
626.7
Effective Bandgap (eV)
1.98
How to Use This Calculator
- Enter the quantum dot radius (nm) — smaller dots produce higher-energy (blue-shifted) emission.
- Set the bulk bandgap (eV) and effective mass ratio (m*/m_e) for your semiconductor material.
- Enter the dielectric constant for Coulomb correction accuracy.
- Review emission wavelength (nm), effective bandgap (eV), quantum confinement energy, and Coulomb correction.
- Use the color code output to correlate dot size with visible emission color for display or bio-imaging applications.
How the result changes with Bulk Bandgap (eV)
| Bulk Bandgap (eV) | Emission Wavelength (nm) | Effective Bandgap (eV) |
|---|---|---|
| 0.87 | 1,117.9 | 1.11 |
| 1.3 | 805.8 | 1.54 |
| 2.61 | 435.4 | 2.85 |
| 4.35 | 270.3 | 4.59 |
What each input means
- QD Radius (nm)
- Quantum dot radius. CdSe QDs: typically 1-5 nm.
- Bulk Bandgap (eV)
- Bulk semiconductor bandgap. CdSe=1.74, CdS=2.42, InP=1.35.
- Effective Mass (m*/m_e)
- Reduced effective mass ratio. CdSe~0.13, CdS~0.21.
- Dielectric Constant
- Relative permittivity. CdSe=10.6, CdS=5.7.
What each result means
- Emission Wavelength (nm)
- Peak emission wavelength from Brus equation.
- Effective Bandgap (eV)
- Size-dependent bandgap energy.
- Confinement Energy (eV)
- Quantum confinement contribution.
- Coulomb Correction (eV)
- Electron-hole attraction correction.
- Color (1=UV...7=Red, 8=IR)
- Approximate visible color classification.
- Photon Energy (eV)
- Energy of emitted photon.
How this is calculated
Worked example, using the default values
- Identify Input Parameters4 parametersQD Radius (nm) = 3, Bulk Bandgap (eV) = 1.74, Effective Mass (m*/m_e) = 0.13, Dielectric Constant = 10.6 = 4 input(s) provided
- Calculate Emission WavelengthEmission Wavelength = emissionWavelengthM * 1e9626.7 = 626.7
- Calculate Effective BandgapEffective Bandgap = max(bulkBandgapEv, totalBandgapEv)1.98 = 1.98
- Calculate Confinement EnergyConfinement Energy = (h * h) / (8 * mEff * R * R) / e0.321 = 0.321
- Calculate Coulomb CorrectionCoulomb Correction = coulombCorrection / e0.082 = 0.082
Engine last updated . Checked against 3 independently-derived tests — how we verify calculators. Built by Paul Gunder, a software engineer, not a licensed financial, medical, or legal professional.
Frequently Asked Questions
Why can't the effective bandgap ever come out lower than the bulk bandgap I entered?
The calculator explicitly floors the effective bandgap at the bulk value using Math.max(bulkBandgapEv, totalBandgapEv), because real quantum confinement only ever raises the bandgap relative to bulk — the confining energy term is always positive, and while the Coulomb term subtracts from it, physically the net effect for a genuinely confined dot should never push the gap below bulk. If your inputs produce a total below the bulk value, the floor kicks in and the confinement term effectively has no impact on the displayed result.
Why does making the quantum dot smaller shift the emission color toward blue?
Shrinking the radius increases the confinement energy term h²/(8m*R²), since it scales with 1/R² — smaller dots confine the electron and hole to a tighter space, raising their kinetic energy and widening the effective bandgap. A wider bandgap means higher-energy, shorter-wavelength photons via E = hc/λ, which is why smaller CdSe dots emit blue-shifted light relative to larger dots of the same material.
What does the dielectric constant input actually control?
It scales the Coulomb correction term, 1.8e/(4πε₀·dielectricConstant·R), which represents the attractive interaction between the confined electron and hole that slightly lowers the effective bandgap. A higher dielectric constant screens that attraction more strongly, shrinking the Coulomb correction and pushing the effective bandgap (and thus the predicted emission wavelength) closer to what confinement energy alone would give.
How accurate is this for materials other than CdSe?
This uses a simplified single-band effective-mass model (a basic form of the Brus equation) that works reasonably well for weak-to-intermediate confinement in materials like CdSe, but it omits valence-band mixing, dielectric-mismatch (image charge) effects at the dot-solvent interface, and surface-state trapping — all of which shift real emission wavelengths, especially for materials with more complex band structure. Use the defaults for CdSe as a sanity check, and treat results for other materials as a first-order design estimate rather than a lab-grade prediction.
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