Bachelors Program in Electrical Engineering
Electrical Engineering Materials
•
Bachelor
Optical, Photonic and Energy Materials
Introduction and Context
Electrical engineers select materials not only for conductivity and strength but also for how they interact with photons, charge carriers, heat, ions, and chemical species. Optical and photonic materials convert electrical energy into light, guide and modulate light, or convert light into electricity. Energy materials store charge, generate electricity electrochemically, or convert temperature differences into electrical power.
The central engineering quantities in this chapter are band gap, absorption coefficient, emission wavelength, refractive index, carrier lifetime, mobility, diffusion length, quantum efficiency, gain, threshold, ionic conductivity, energy density, power density, and thermoelectric figure of merit. These quantities connect material physics to devices such as LEDs, semiconductor lasers, optical fibers, solar cells, batteries, fuel cells, capacitors, and thermoelectric generators.
Learning Objectives
After studying this chapter, a student should be able to:
Relate band structure and optical transitions to absorption and emission.
Explain refractive index, total internal reflection, and optical-fiber losses.
Quantitatively relate carrier lifetime, mobility, diffusion length, and collection efficiency.
Distinguish LED efficiency from photovoltaic external quantum efficiency.
State the gain and threshold conditions for semiconductor lasers.
Compare batteries, fuel cells, capacitors, and thermoelectric devices.
Evaluate performance, degradation, safety, and sustainability trade-offs.
1. Electronic Structure and Optical Interaction
1.1 Band gap and photon energy
In a semiconductor, electrons occupy allowed energy bands separated by a forbidden band gap, Eg. A photon has energy
Eph = hν = hc/λ
where h is Planck’s constant, ν is frequency, c is the speed of light in vacuum, and λ is wavelength. An interband transition is strongly absorbed when Eph is at least approximately Eg. For a direct-gap semiconductor, electron–hole recombination can emit a photon without a momentum-changing phonon. In an indirect-gap semiconductor, phonons are generally required, making radiative emission less probable.
Using Eph(eV) ≈ 1.240/λ(μm), a 1.55 μm photon has energy approximately 0.800 eV. This is why InGaAsP alloys are important in long-distance optical communication.
The absorption coefficient α(λ) describes attenuation inside a material:
I(x) = I0 exp(−αx)
Here I0 is incident intensity, I(x) is intensity after distance x, and α has units m⁻¹. The absorption depth is approximately 1/α when α is nonzero. Near an absorption edge, α depends strongly on photon energy, crystal disorder, and allowed-transition selection rules.
1.2 Emission and recombination
A conduction-band electron and a valence-band hole may recombine radiatively, emitting a photon, or nonradiatively through defects, Auger processes, or phonons. The total carrier lifetime satisfies
1/τ = 1/τr + 1/τnr
where τ is effective lifetime, τr radiative lifetime, and τnr nonradiative lifetime. The internal radiative efficiency is
ηint = (1/τr)/(1/τr + 1/τnr) = τ/τr
This relation assumes independent first-order radiative and nonradiative recombination channels. At high carrier density, Auger recombination and stimulated emission make a simple constant-lifetime model incomplete.
For an LED, external quantum efficiency means emitted photons per injected electron:
ηEQE,LED = emitted photons / injected electrons
For a photovoltaic cell, external quantum efficiency means collected electrons per incident photon at a specified wavelength:
EQEPV(λ) = collected electrons / incident photons at λ
These definitions must not be interchanged. LED efficiency is an electrical-to-optical metric; photovoltaic EQE is an optical-to-electrical collection metric.
1.3 Carrier transport and collection
Carrier motion is characterized by mobility μ, defined through drift velocity:
vd = μE
where E is electric field. In a uniform region, the drift current density for one carrier type is J = qnμE, with q the elementary charge and n carrier concentration. Mobility is reduced by phonon scattering, ionized impurities, alloy disorder, and structural defects.
For diffusion, the Einstein relation for nondegenerate carriers is
D = μkBT/q
where D is diffusivity, kB is Boltzmann’s constant, and T is absolute temperature. The diffusion length is
LD = √(Dτ)
It is the characteristic distance a carrier diffuses before recombination. A collection region much thicker than LD loses carriers unless an electric field, surface passivation, or a suitable junction assists collection.
Worked example. At 300 K, an electron has mobility 0.10 m² V⁻¹ s⁻¹ and lifetime 1.0 μs. Since kBT/q ≈ 0.0259 V,
Thus the diffusion length is approximately 51 μm. A device requiring minority-carrier collection over 200 μm would need additional field-assisted transport or a longer lifetime; diffusion alone would be inefficient.
2. LEDs and Semiconductor Lasers
2.1 Light-emitting diodes
An LED is a forward-biased p–n junction or heterostructure. Injected electrons and holes recombine in an active region and emit photons. The approximate emission wavelength is
λ ≈ hc/Eg
when band-gap energy dominates the transition. Real emission is broadened by temperature, composition fluctuations, carrier distribution, and internal optical modes.
LED performance depends on injection efficiency, internal radiative efficiency, light-extraction efficiency, and electrical losses. A useful factorization is
ηEQE,LED ≈ ηinj ηint ηextract
where ηinj is the fraction of injected carriers reaching the active region and ηextract is the fraction of internally generated photons escaping. This is an engineering approximation; series resistance, spectral effects, and current-dependent recombination can make each factor bias-dependent.
The efficiency droop observed at high current is associated with Auger recombination, carrier leakage, heating, and imbalance between electron and hole injection. Thermal management is essential because junction temperature shifts the spectrum, lowers efficiency, and accelerates degradation.
2.2 Semiconductor lasers
A laser diode uses a gain medium, optical confinement, and feedback from a resonant cavity. Electrical injection creates population inversion or, more generally, enough stimulated-emission gain to overcome losses. The net modal condition at threshold is
Γgth = αi + αm
where gth is material gain at threshold, Γ is optical confinement factor, αi is internal loss, and αm is mirror loss. For a cavity of length L with facet power reflectivities R1 and R2,
αm = (1/(2L)) ln[1/(R1R2)]
This expression assumes a Fabry–Pérot cavity with negligible additional distributed feedback effects and power reflectivities between zero and one. Below threshold, spontaneous emission dominates. Above threshold, stimulated emission increases sharply and the optical output becomes directional and spectrally narrow.
The corrected energy pathway is therefore electrical injection → carrier population → optical emission. A detector or photovoltaic device can perform the reverse optical-to-electrical conversion, but an LED or electrically pumped laser is not a photon-to-electrical-output device.
Electrical injection producing optical output in an LED or semiconductor laser
Figure: Electrical injection producing optical output in an LED or semiconductor laser
Figure: In an LED or electrically pumped semiconductor laser, electrical carrier injection produces optical output; photovoltaic conversion has the reverse direction.
3. Optical Fibers and Photonic Materials
The refractive index is
n = c/vp
where vp is phase velocity in the material. At an interface from core index n1 to cladding index n2, total internal reflection occurs for incidence angles above the critical angle, provided n1 > n2. The critical angle measured from the normal is
θc = sin^−1(n2/n1)
For a step-index fiber in air, the numerical aperture is approximately
NA = √(n1² − n2²)
and describes the acceptance cone. This formula assumes a circular, isotropic, step-index fiber and an external medium with refractive index close to one.
Fiber attenuation arises from absorption, Rayleigh scattering, bending, and connector losses. Dispersion broadens pulses: modal dispersion is important in multimode fibers, while material and waveguide dispersion affect single-mode systems. Silica fibers are widely used because of low loss, high transparency near 1.3 and 1.55 μm, mechanical stability, and mature fabrication.
Photonic materials also include electro-optic crystals, liquid crystals, nonlinear optical polymers, quantum wells, quantum dots, and two-dimensional materials. Their functions include modulation, wavelength conversion, sensing, switching, and low-dimensional light emission.
4. Photovoltaic Materials
A photovoltaic device absorbs photons, creates electron–hole pairs, separates them using a built-in field or selective contacts, and delivers power to an external circuit. Its current–voltage behavior is often approximated by the single-diode equation
I = Iph − I0[exp(q(V + IRs)/(nkBT)) − 1] − (V + IRs)/Rsh
where Iph is photocurrent, I0 saturation current, Rs series resistance, Rsh shunt resistance, n ideality factor, and V terminal voltage. The model is useful for interpretation but does not capture every recombination and transport mechanism.
The power-conversion efficiency is
ηPV = Pmax/Pin = (Voc Isc FF)/Pin
where Voc is open-circuit voltage, Isc short-circuit current, FF fill factor, and Pin incident optical power. EQE depends on wavelength and includes absorption, charge separation, transport, and collection. Major material classes include crystalline silicon, thin-film CdTe and CIGS, III–V compounds, organic semiconductors, dye-sensitized cells, and perovskites.
Degradation mechanisms include light-induced defects, moisture and oxygen ingress, ion migration, thermal cycling, contact corrosion, encapsulant yellowing, and ultraviolet exposure. Engineering controls include barrier encapsulation, stable interfaces, bypass diodes, thermal design, and accelerated qualification testing.
5. Electrochemical Energy Materials
5.1 Batteries
A rechargeable battery stores energy through reversible chemical reactions. The cell voltage is related to Gibbs free energy:
ΔG = −nFE
where ΔG is reaction Gibbs energy, n is electrons transferred per reaction, F is Faraday’s constant, and E is reversible cell potential. The practical specific energy is lower than the theoretical value because of inactive materials, voltage polarization, resistance, safety limits, and incomplete utilization.
Lithium-ion batteries use an insertion cathode, graphite or another anode, electrolyte, separator, and current collectors. During operation, lithium ions move through the electrolyte while electrons travel through the external circuit. Degradation includes solid-electrolyte-interphase growth, lithium plating, transition-metal dissolution, particle cracking, electrolyte oxidation, and thermal runaway. Battery management systems limit voltage, current, and temperature and balance cells.
5.2 Fuel cells
A fuel cell continuously converts chemical energy into electricity while reactants are supplied. In a hydrogen proton-exchange-membrane cell, hydrogen is oxidized at the anode, protons cross the membrane, and oxygen is reduced at the cathode. Water and heat are produced overall. Performance is limited by activation, ohmic, and mass-transport losses. Membrane dehydration increases resistance, whereas flooding blocks gas transport. Catalyst cost, hydrogen purity, durability, and infrastructure remain important engineering constraints.
5.3 Capacitors and supercapacitors
An ideal capacitor stores electrostatic energy:
U = 1/2 CV²
where C is capacitance and V voltage. A parallel-plate capacitor has
C = εA/d
for plate area A, separation d, and permittivity ε, assuming a uniform field and negligible fringing. Dielectric breakdown limits usable voltage.
Electric-double-layer capacitors use charge separation at an electrode–electrolyte interface and provide high power and long cycle life. Pseudocapacitors add fast surface redox reactions. Compared with batteries, capacitors generally offer higher power density and longer cycle life but lower energy density and greater self-discharge.
6. Thermoelectric Materials
A temperature difference produces a voltage through the Seebeck effect:
Voc = SΔT
where S is Seebeck coefficient and ΔT is temperature difference. The thermoelectric figure of merit is
ZT = S²σT/κ
where σ is electrical conductivity, T absolute temperature, and κ total thermal conductivity. High performance requires a large power factor S²σ and low thermal conductivity, but these properties are coupled because carriers transport both charge and heat.
Common materials include bismuth telluride near room temperature, lead telluride at intermediate temperatures, and skutterudites, half-Heusler compounds, oxides, and silicon-based materials for specialized conditions. Degradation may involve sublimation, oxidation, diffusion at contacts, thermal fatigue, and mechanical fracture caused by repeated temperature cycling.
7. Comparative Performance and Degradation
Device
Primary conversion
Main performance metric
Typical dominant degradation
LED
Electrical → optical
External quantum efficiency, efficacy
Heating, droop, defect growth
Laser diode
Electrical → coherent optical
Threshold current, slope efficiency
Facet damage, heating, aging
Optical fiber
Guides optical power
Attenuation, bandwidth
Bending, radiation, moisture
Photovoltaic cell
Optical → electrical
Efficiency, EQE, power density
Moisture, ion migration, thermal cycling
Battery
Chemical storage ↔ electrical
Energy and power density, cycle life
SEI growth, plating, capacity fade
Fuel cell
Chemical → electrical
Power density, efficiency
Catalyst loss, flooding, membrane damage
Capacitor
Electrostatic storage
Energy, power, cycle life
Dielectric breakdown, leakage
Thermoelectric
Thermal gradient → electrical
ZT, power density
Contact diffusion, thermal fatigue
Performance must be evaluated at stated temperature, operating voltage, wavelength, current density, humidity, and cycle history. A single headline value can be misleading: high energy density may accompany low power capability, and high optical efficiency may be achieved at a cost in bandwidth, lifetime, or thermal margin.
8. Illustrative Case: Selecting Materials for a Solar-Powered Sensor Node
Background. An outdoor sensor node requires intermittent sensing, wireless transmission, and operation for several years. It receives variable sunlight and must survive humidity and temperature cycling.
Problem. A designer must select the photovoltaic material, storage device, and power-management strategy without optimizing only the laboratory peak efficiency.
Analysis. A silicon photovoltaic module offers mature encapsulation and stable field performance. A lithium-ion cell supplies much greater stored energy than a supercapacitor but requires protection against overcharge, deep discharge, and high temperature. A supercapacitor can handle frequent short bursts and many cycles, but its voltage falls substantially during discharge. The photovoltaic EQE spectrum must overlap the outdoor illumination spectrum, and the storage device must be sized using worst-case irradiance and sensor duty cycle rather than average laboratory illumination.
Approach. Use a silicon module with a maximum-power-point controller, a protected lithium-ion cell for overnight storage, and a small capacitor near the radio for transient current. Include reverse-current blocking, temperature sensing, moisture-resistant encapsulation, and a low-power sleep mode. Qualification should include damp-heat testing, thermal cycling, vibration, battery abuse testing, and radio-burst load tests.
Outcome. The hybrid design separates energy capacity from pulse power and reduces battery stress. Its success is judged by energy balance over seasonal conditions, retained capacity, radio reliability, and safe failure behavior.
Learning points. Material selection is a system decision. Interface stability, heat removal, encapsulation, control electronics, and maintenance can dominate nominal material properties.
9. Safety, Sustainability, and Professional Practice
Engineers must consider electrical shock, optical eye hazards, laser classification, battery fire, toxic or scarce elements, hydrogen leakage, high-temperature surfaces, and chemical waste. Laser systems require enclosure, interlocks, warning labels, and appropriate protective eyewear. Battery packs require cell matching, thermal propagation barriers, fuses, and validated management algorithms.
Life-cycle assessment should include raw-material extraction, manufacturing energy, service life, repairability, recycling, and end-of-life recovery. Cadmium, lead, cobalt, fluorinated electrolytes, and rare elements require controlled handling and responsible supply-chain management. Standards and regulations vary by application, but professional practice requires traceable testing, conservative ratings, documented uncertainty, and independent safety review.
Artificial intelligence can assist defect inspection, lifetime prediction, materials discovery, and battery state estimation. It does not remove the need for physically valid models, representative data, uncertainty analysis, cybersecurity, and human responsibility for safety-critical decisions.
Chapter Summary
Optical and energy materials convert, guide, store, or transport energy through photons, electronic carriers, ions, chemical reactions, and heat. Band gap determines the approximate photon energy of semiconductor absorption and emission. Absorption follows exponential attenuation, while refractive-index contrast enables fiber guidance. Carrier lifetime, mobility, diffusivity, and diffusion length determine whether generated carriers reach an active region or contact before recombining. LEDs convert injected electrical carriers into light; photovoltaic cells perform the reverse conversion. Semiconductor laser threshold occurs when modal gain equals internal and mirror losses. Batteries and fuel cells use electrochemical reactions, capacitors store electrostatic energy, and thermoelectric devices exploit the Seebeck effect. In every technology, performance must be assessed together with thermal behavior, interfaces, degradation, safety, sustainability, and operating conditions.
Key Terms
Band gap: Energy separation between relevant valence and conduction bands.
Absorption coefficient: Constant describing exponential optical attenuation in a material.
Radiative recombination: Electron–hole recombination accompanied by photon emission.
Nonradiative recombination: Recombination that dissipates energy without useful photon emission.
Carrier lifetime: Mean characteristic time before carrier recombination.
Mobility: Proportionality between carrier drift velocity and electric field.
Diffusion length: Characteristic distance a carrier diffuses during its lifetime.
External quantum efficiency of an LED: Emitted photons per injected electron.
Photovoltaic EQE: Collected electrons per incident photon at a specified wavelength.
Refractive index: Ratio of vacuum light speed to phase velocity in a material.
Numerical aperture: Approximate light-acceptance capability of an optical fiber.
Modal gain: Optical amplification per unit length in a laser mode.
Threshold: Condition at which laser gain balances cavity and internal losses.
Photovoltaic effect: Generation of electrical power from absorbed light.
State of charge: Available battery charge expressed relative to a defined capacity.
Solid-electrolyte interphase: Passivation layer formed at an electrode–electrolyte interface.
Supercapacitor: High-power electrochemical capacitor using double-layer and/or pseudocapacitive storage.
Seebeck coefficient: Voltage generated per unit temperature difference.
Thermoelectric figure of merit: Dimensionless measure ZT = S²σT/κ.
Review Questions
Short Answer Questions
Why are direct-band-gap semiconductors generally more suitable for LEDs than indirect-band-gap semiconductors?
Define carrier lifetime and diffusion length.
Distinguish LED external quantum efficiency from photovoltaic EQE.
State the condition for total internal reflection.
Identify two major degradation mechanisms in lithium-ion batteries.
Long Answer Questions
Explain how band structure, recombination, carrier lifetime, and extraction efficiency determine LED performance.
Derive the relationship between mobility, diffusivity, and diffusion length under the nondegenerate Einstein approximation.
Explain semiconductor laser threshold using internal loss, mirror loss, and optical confinement.
Compare batteries, fuel cells, and supercapacitors in terms of conversion mechanism, energy density, power density, and degradation.
Explain the trade-off among Seebeck coefficient, electrical conductivity, and thermal conductivity in thermoelectric design.
Analytical / Application Questions
A material has electron mobility 0.08 m² V⁻¹ s⁻¹ and lifetime 4 μs at 300 K. Calculate its diffusivity and diffusion length using kBT/q = 0.0259 V.
A step-index fiber has core index 1.48 and cladding index 1.46. Calculate its approximate numerical aperture in air and explain one limitation of this calculation.
Design a preliminary power architecture for an outdoor wireless sensor using a photovoltaic module, a storage element, and power electronics. Justify the choices using energy balance, transient power, safety, and degradation considerations.
Multiple Choice Questions with Answers
Question 1
An electrically pumped LED primarily converts which energy pathway?
A. Photons into chemical energy
B. Electrical carrier injection into optical emission
C. Thermal energy into coherent light
D. Optical absorption into mechanical work
Correct Answer: B. Electrical carrier injection into optical emission
Question 2
At 300 K, an electron mobility of 0.10 m² V⁻¹ s⁻¹ corresponds to diffusivity approximately equal to what value, using kBT/q = 0.0259 V?
A. 2.59 × 10⁻³ m² s⁻¹
B. 3.86 m² s⁻¹
C. 2.59 × 10⁻⁶ m² s⁻¹
D. 0.259 m² s⁻¹
Correct Answer: A. 2.59 × 10⁻³ m² s⁻¹
Question 3
What does photovoltaic external quantum efficiency measure?
A. Emitted photons per injected electron
B. Collected electrons per incident photon at a specified wavelength
C. Electrical power per unit temperature difference
D. Stored chemical energy per unit mass
Correct Answer: B. Collected electrons per incident photon at a specified wavelength
Question 4
For a material with diffusivity D and carrier lifetime τ, the diffusion length is
A. Dτ
B. D/τ
C. √(Dτ)
D. τ/D
Correct Answer: C. √(Dτ)
Question 5
The threshold condition of a semiconductor laser is best represented by
A. Γgth = αi + αm
B. Γgth = αi − αm
C. gth = Γ(αi + αm)²
D. αm = Γgth + αi
Correct Answer: A. Γgth = αi + αm
Question 6
Which condition is required for total internal reflection at a core–cladding boundary?
A. Core index lower than cladding index
B. Core index equal to vacuum index
C. Core index greater than cladding index and incidence above the critical angle
D. Normal incidence from air into the core
Correct Answer: C. Core index greater than cladding index and incidence above the critical angle
Question 7
Which device generally provides the highest pulse power and longest cycle life but lower energy density than a battery?
A. Supercapacitor
B. Fuel cell
C. Photovoltaic module
D. Optical fiber
Correct Answer: A. Supercapacitor
Question 8
In the thermoelectric figure of merit ZT = S²σT/κ, κ denotes
A. Carrier lifetime
B. Thermal conductivity
C. Optical confinement factor
D. Chemical potential
Correct Answer: B. Thermal conductivity
Question 9
Which process is a common lithium-ion battery degradation mechanism?
A. Mirror loss
B. Rayleigh scattering only
C. Lithium plating and solid-electrolyte-interphase growth
D. Total internal reflection
Correct Answer: C. Lithium plating and solid-electrolyte-interphase growth