Functional, Electronic and Smart MaterialsIntroduction and ContextMaterials engineering increasingly concerns not only structural strength but also the ability of a material to conduct, store, convert, sense, or respond to energy and information. Electronic and functional materials are therefore central to modern mechanical systems, including electric vehicles, robotics, aerospace structures, medical devices, energy-storage systems, precision actuators, and industrial sensors. A material’s function is controlled by its atomic bonding, crystal structure, defects, interfaces, and microstructure. In electronic materials, the most useful organizing concept is the electronic band structure: the permitted energy states of electrons in a solid. Band structure helps explain why metals conduct electricity readily, why semiconductors can be controlled by doping, and why insulators resist current flow. Polarization and symmetry explain dielectric, ferroelectric, and piezoelectric behavior, while magnetic ordering explains permanent magnets and magnetoresistive devices. Smart materials extend these ideas by responding to external stimuli such as temperature, stress, electric field, magnetic field, light, or chemical environment. Their response can be reversible and controllable, making them valuable for sensing and actuation. Learning ObjectivesBy the end of this chapter, a student should be able to: - Relate atomic bonding and electronic band structure to electrical and thermal conductivity.
- Explain intrinsic and extrinsic semiconductor behavior and the operation of p–n junctions.
- Describe polarization mechanisms in dielectric, ferroelectric, and piezoelectric materials.
- Relate magnetic domains and ordering to engineering magnetic properties.
- Compare optical, electronic, battery, sensor, and actuator materials.
- Explain the mechanisms and limitations of shape-memory alloys.
- Select functional materials for an engineering application using performance, processing, reliability, cost, and sustainability criteria.
1. Electronic Structure and Charge Transport1.1 Energy bands in solidsIn an isolated atom, electrons occupy discrete energy levels. When many atoms are brought together to form a solid, interactions split these levels into closely spaced ranges called allowed energy bands. Between allowed bands may be forbidden energy ranges called band gaps. The valence band is the highest substantially occupied band at absolute zero, while the conduction band is the next higher band in which electrons can move through the crystal. The Fermi level, E_F, is the energy at which the probability of electron occupation is one-half under the usual Fermi–Dirac description. Metals have partially filled bands or overlapping valence and conduction bands. Electrons can therefore change their momentum under a small electric field, producing high electrical conductivity. In an intrinsic semiconductor, the valence and conduction bands are separated by a relatively small band gap. Thermal energy can excite some electrons across this gap. In an insulator, the gap is sufficiently large that very few electrons are thermally excited at ordinary temperatures. A useful qualitative classification is: | Material | Band-gap characteristic | Electrical behavior |
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| Metal | Partially filled or overlapping bands | High conductivity | | Semiconductor | Small band gap | Conductivity strongly controllable | | Insulator | Large band gap | Very low conductivity |
The electrical conductivity is σ = nqμ where σ is conductivity in S·m⁻¹, n is the number density of mobile charge carriers in m⁻³, q is the magnitude of electronic charge in C, and μ is carrier mobility in m²·V⁻¹·s⁻¹. For both electrons and holes, the more general expression is σ = q(nμn + pμp) where n and p are electron and hole concentrations, and μ_n and μ_p are their respective mobilities. This relation assumes approximately independent carrier contributions and drift transport in a homogeneous material. Resistivity is ρ = 1/σ, provided the material is ohmic under the stated operating conditions. 1.2 Intrinsic and extrinsic semiconductorsAn intrinsic semiconductor is chemically pure, so electrons and holes are generated in pairs. Its carrier concentrations satisfy n = p = n_i, where n_i is the intrinsic carrier concentration. In an extrinsic semiconductor, controlled impurities alter the carrier concentration. Donor atoms contribute electrons and produce n-type material. Acceptor atoms create holes and produce p-type material. The dominant carriers are called majority carriers; the opposite type are minority carriers. Doping changes conductivity over many orders of magnitude without changing the bulk crystal into a metal. Temperature affects semiconductors strongly. As temperature rises, more electron–hole pairs are generated, generally increasing intrinsic conductivity. Mobility often decreases because lattice vibrations scatter carriers. The net temperature effect depends on the relative importance of carrier generation and mobility reduction. 1.3 p–n junctionsWhen p-type and n-type semiconductor regions are joined, electrons diffuse from the n side toward the p side, while holes diffuse in the opposite direction. Recombination near the interface leaves charged ionized donors and acceptors, creating a depletion region and an internal electric field. Forward bias reduces the junction barrier and allows substantial current. Reverse bias enlarges the depletion region and normally permits only a small leakage current until breakdown. This behavior is the basis of diodes, photovoltaic cells, light-emitting diodes, and many sensors. For an ideal diode, the current–voltage relation is I = I0 [exp(qV/(nkBT)) − 1] where I is current, I_0 is reverse saturation current, V is applied voltage, n is the ideality factor, k_B is Boltzmann’s constant, and T is absolute temperature. The equation assumes an idealized junction and neglects series resistance, high-level injection, heating, and breakdown. The ideality factor is commonly between approximately 1 and 2, depending on the dominant recombination mechanism. Worked Example 1: ConductivityA doped semiconductor contains 2.0 × 10²¹ electrons per cubic metre. Their mobility is 0.12 m²·V⁻¹·s⁻¹. Taking q = 1.60 × 10⁻¹⁹ C, σ = nqμ = (2.0 × 10²¹)(1.60 × 10⁻¹⁹)(0.12) = 38.4 S·m⁻¹ Thus, ρ = 1/σ = 0.0260 Ω·m This calculation assumes electrons are the only important mobile carriers and that transport is ohmic. 2. Thermal Transport and Electron–Phonon InteractionHeat is transported by free electrons and by lattice vibrations, or phonons. In metals, electrons commonly dominate thermal transport. In ceramics and semiconductors, phonons are often the principal carriers, although electrons become important when carrier concentration is high. Fourier’s law for one-dimensional steady conduction is q̇x = −k dT/dx where q̇_x is heat flux in W·m⁻², k is thermal conductivity in W·m⁻¹·K⁻¹, and dT/dx is the temperature gradient. The negative sign indicates heat flows toward lower temperature. The law assumes local thermal equilibrium and is most useful at continuum scales where nonlocal or ballistic effects are negligible. Electrical and thermal conductivity in many metals are related by the Wiedemann–Franz law: ke/(σT) = L where k_e is electronic thermal conductivity, T is absolute temperature, and L is the Lorenz number. For a simple metal, L is approximately 2.44 × 10⁻⁸ W·Ω·K⁻². The relation is not universally accurate: strong inelastic scattering, nanostructure, semiconducting behavior, and phonon contributions can produce substantial deviations. Thermoelectric materials exploit the coupling between heat and charge transport. Their performance is often characterized by the dimensionless figure of merit ZT = S²σT/k where S is Seebeck coefficient in V·K⁻¹, σ is electrical conductivity, T is absolute temperature, and k is total thermal conductivity. A high ZT requires a large Seebeck coefficient and electrical conductivity but low thermal conductivity. These requirements compete because charge carriers that transport electricity may also transport heat. Nanostructuring and complex crystal structures are used to scatter phonons while retaining useful electronic transport. 3. Dielectric, Ferroelectric and Piezoelectric Materials3.1 PolarizationA dielectric is an electrical insulator that becomes polarized in an electric field. Polarization P is electric dipole moment per unit volume, measured in C·m⁻². For a linear, isotropic dielectric, P = ε₀χeE where ε₀ is the permittivity of free space, χ_e is electric susceptibility, and E is electric field in V·m⁻¹. Electric displacement is D = ε₀E + P = εE where ε is permittivity. Relative permittivity, or dielectric constant, is ε_r = ε/ε₀. These linear relations apply only over a restricted field range and do not describe hysteresis or dielectric breakdown. Polarization may arise from electronic displacement, ionic displacement, orientation of permanent molecular dipoles, or movement of interfaces and defects. The frequency of the applied field matters: slow mechanisms may follow low-frequency fields but cannot respond rapidly at microwave or optical frequencies. 3.2 Capacitive energy storageFor a parallel-plate capacitor with plate area A, dielectric thickness d, and uniform electric field, C = εA/d where C is capacitance in farads. The stored energy is U = 1/2 CV² = 1/2 εE²(Ad) where V is voltage and E = V/d. Dielectric energy density therefore increases with permittivity and the square of allowable electric field. In practice, defects, porosity, electrode roughness, and local field concentration reduce breakdown strength. 3.3 FerroelectricityA ferroelectric possesses spontaneous polarization that can be reversed by an applied electric field. Its polarization–electric-field curve displays hysteresis. Important properties include remanent polarization, coercive field, dielectric permittivity, fatigue resistance, and transition temperature. Lead zirconate titanate, commonly known as PZT, has high piezoelectric response and is used in actuators, ultrasound transducers, and vibration-control systems. Lead-free alternatives, including potassium sodium niobate and bismuth-based compositions, are under development because lead compounds create environmental and regulatory concerns. 3.4 PiezoelectricityPiezoelectricity is the coupling between mechanical stress and electric polarization in non-centrosymmetric crystals. The direct effect converts stress into charge and is useful for sensing. The converse effect converts electric field into strain and is useful for actuation. A simplified one-dimensional constitutive description is D = dT + εT E S = sE T + dE Here D is electric displacement, T is mechanical stress, E is electric field, S is strain, d is a piezoelectric coefficient, ε^T is permittivity at constant stress, and s^E is compliance at constant electric field. Tensor notation is required for general three-dimensional behavior. The equations assume small strain, linear response, and a specified poling direction. Piezoelectric ceramics offer large actuation forces but are brittle and often require electrical insulation. Piezoelectric polymers such as PVDF are flexible and lightweight, although their electromechanical coefficients are generally lower. 4. Magnetic MaterialsMagnetism originates primarily from electron spin and orbital motion. In ferromagnets, exchange interactions favor parallel alignment of neighboring magnetic moments. The material divides into domains so that magnetostatic energy is reduced. Applying a magnetic field moves domain walls and rotates magnetization. Important magnetic properties include saturation magnetization, remanence, coercivity, permeability, hysteresis loss, and Curie temperature. Soft magnetic materials have low coercivity and are suitable for transformer cores and electromagnetic actuators. Hard magnetic materials have high coercivity and retain magnetization, making them useful as permanent magnets. Magnetic induction is related to magnetic field and magnetization by B = μ₀(H + M) where B is magnetic flux density in tesla, H is applied magnetic field in A·m⁻¹, M is magnetization in A·m⁻¹, and μ₀ is permeability of free space. In a linear isotropic medium, B = μH, but ferromagnets are strongly nonlinear and hysteretic, so a single constant permeability is often inadequate. Magnetic hysteresis causes energy loss during cyclic magnetization. The energy dissipated per unit volume per cycle equals the area enclosed by the B–H loop, with appropriate unit interpretation. Thin laminations, ferrites, and carefully selected alloys reduce eddy-current and hysteresis losses in alternating-field applications. Magnetostrictive materials change dimensions when magnetized. Terfenol-D provides large strain but is expensive and relatively dense. Magnetostrictive actuators are used in sonar, precision positioning, vibration control, and torque transducers. 5. Optical and Electro-Optical MaterialsOptical behavior depends on electronic transitions, band gap, crystal structure, and microstructural scattering. 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. In a semiconductor, photons with energy greater than or comparable to the band gap can generate electron–hole pairs. This principle supports photodetectors and photovoltaic cells. The refractive index n is approximately related to the speed of light in a medium by n = c/v, where v is phase velocity. Absorption, reflection, refraction, scattering, and interference must all be considered in optical design. Light-emitting diodes use radiative electron–hole recombination in a forward-biased junction. The approximate emission wavelength is related to band gap by λ ≈ hc/Eg where E_g is band-gap energy expressed in joules. Real devices exhibit spectral broadening, nonradiative recombination, temperature dependence, and efficiency losses. 6. Batteries and Electrochemical Functional MaterialsA rechargeable battery converts chemical energy to electrical energy during discharge and reverses the reaction during charging. A practical cell contains a negative electrode, positive electrode, electrolyte, separator, current collectors, and protective packaging. The theoretical specific capacity of an electrode is Qth = nF/M where Q_th is theoretical capacity in C·kg⁻¹, n is the number of electrons transferred per formula unit, F is Faraday’s constant, and M is molar mass in kg·mol⁻¹. In ampere-hours per kilogram, divide the result in C·kg⁻¹ by 3600. The cell voltage depends on electrode potentials and operating conditions. The Nernst equation for a reversible reaction is E = E° − (RT/nF) ln Qr where E° is standard potential, R is the gas constant, T is absolute temperature, n is electron number, F is Faraday’s constant, and Q_r is the reaction quotient. This equation assumes thermodynamic equilibrium; practical batteries experience polarization, ohmic resistance, concentration gradients, heat generation, and aging. Lithium-ion batteries use intercalation compounds rather than metallic lithium during normal operation. Graphite is a common negative electrode, while layered oxides, spinels, and phosphate materials are used as positive electrodes. Important engineering trade-offs include energy density, power capability, cycle life, thermal stability, cost, and supply-chain sustainability. Battery degradation arises from solid-electrolyte-interphase growth, particle cracking, lithium plating, loss of active material, electrolyte decomposition, and thermal abuse. Battery-management systems estimate state of charge and state of health, balance cells, limit current, and maintain safe temperature. 7. Shape-Memory AlloysShape-memory alloys undergo a reversible, diffusionless transformation between martensite and austenite. The low-temperature martensite can be deformed by variant reorientation. On heating, the alloy returns toward the austenitic structure and recovers its trained shape. Nickel–titanium, commonly called Nitinol, is the most widely used engineering shape-memory alloy. Its useful properties include high recoverable strain, corrosion resistance, biocompatibility, and superelasticity. Transformation temperatures depend on composition, heat treatment, stress, processing history, and defects. The shape-memory effect requires thermal cycling, whereas superelasticity occurs when stress induces martensite at a temperature above the transformation range. Applications include thermal actuators, couplings, orthodontic wires, vascular stents, and vibration-control devices. Limitations include hysteresis, functional fatigue, limited transformation speed in large components, sensitivity to surface condition, and comparatively high material and processing cost. Design must account for cyclic strain amplitude, heat-transfer rate, constraint, and transformation-induced stresses. 8. Sensors and Actuators: Selection and IntegrationA sensor converts a physical, chemical, or biological quantity into a measurable signal. An actuator converts an input signal or stored energy into motion, force, pressure, heat, or another physical response. Sensor performance is described by sensitivity, range, resolution, linearity, hysteresis, repeatability, response time, drift, selectivity, and noise. Actuator performance additionally involves displacement, force, speed, efficiency, bandwidth, energy density, and controllability. Common material choices include: | Function | Typical materials | Main advantage | Main limitation |
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| Strain sensing | Metallic foil, silicon, piezoceramic | Electrical response to strain | Temperature sensitivity or brittleness | | Temperature sensing | Platinum, thermistors, thermocouple alloys | Wide measurement capability | Calibration and lead effects | | Piezoelectric actuation | PZT, PMN–PT, PVDF | Fast response and high force | Hysteresis or low strain | | Magnetic actuation | Soft iron, ferrites, Terfenol-D | Remote force and motion | Losses, saturation, or cost | | Shape-memory actuation | Ni–Ti | High force-to-mass ratio | Slow thermal response | | Gas or chemical sensing | Metal oxides, polymers, graphene derivatives | High surface sensitivity | Selectivity and long-term drift |
Successful integration requires mechanical compatibility, electrical insulation where necessary, thermal management, signal conditioning, calibration, and protection from moisture, corrosion, shock, and fatigue. 9. Illustrative Case Study: Piezoelectric Vibration Control in a Machine ToolBackgroundA precision machine tool experiences chatter during high-speed cutting. Chatter reduces surface quality, increases tool wear, and can damage bearings. A piezoelectric actuator bonded to the machine structure is considered for active vibration suppression. ProblemThe actuator must respond rapidly near the dominant vibration frequency. It must produce sufficient counteracting force without adding excessive mass or compromising structural stiffness. The sensor and actuator must also survive coolant, repeated cycling, and electrical transients. AnalysisA piezoelectric patch can sense strain through the direct effect and generate strain through the converse effect. A simplified vibration model is mẍ + cẋ + kx = Fext + Fact where m is modal mass, c is damping coefficient, k is stiffness, x is displacement, F_ext is externally generated force, and F_act is the control force. The model assumes a linear single-degree-of-freedom approximation. Actual machine structures require modal testing or finite-element analysis. The control system measures vibration, estimates amplitude and phase, and applies a voltage to the actuator to generate a force opposing the unstable vibration component. A feedback controller must consider sensor noise, actuator saturation, delay, and the risk of exciting other modes. Approach and solutionA bonded piezoceramic patch is placed near a region of high modal strain. A second patch or accelerometer provides feedback. The design uses an electrically insulated adhesive layer, sealed wiring, and a controller with frequency-selective filtering. Finite-element analysis identifies the placement that maximizes modal authority while avoiding excessive local stress. OutcomeIn an appropriately tuned system, vibration amplitude can be reduced over the target frequency range, improving surface finish and tool life. However, performance is not universal: changing tool geometry, workpiece stiffness, or cutting speed shifts the modal frequencies and may require retuning. Learning points- Material selection must be based on coupled electromechanical behavior, not only nominal strain.
- Placement is governed by structural mode shapes.
- Packaging and environmental protection are as important as intrinsic material properties.
- Feedback control must address hysteresis, creep, delay, and saturation.
10. Selection, Reliability and SustainabilityFunctional-material selection should begin with the required stimulus, output, operating range, response speed, lifetime, and failure consequences. A material with the highest nominal coefficient may be unsuitable if it is brittle, toxic, difficult to process, or unstable in the service environment. Reliability mechanisms include dielectric breakdown, electromigration, fatigue, domain-wall pinning, thermal runaway, delamination, corrosion, moisture uptake, and radiation damage. Interfaces are particularly important because mismatch in thermal expansion, elastic modulus, or electrochemical potential can create local stress and degradation. Environmental and ethical considerations include mining of cobalt, lithium, rare-earth elements, and tantalum; use of lead in piezoceramics; solvent and energy consumption during processing; worker exposure; and end-of-life recovery. Life-cycle assessment should consider raw materials, manufacturing, use-phase energy, maintenance, recycling, and disposal. Regulatory compliance may involve electrical safety, electromagnetic compatibility, battery transport, hazardous-substance restrictions, and medical-device standards. Engineers should maintain traceable material specifications, validated test methods, and documented failure-analysis procedures. 11. Contemporary DevelopmentsCurrent research emphasizes multifunctional materials that combine structural and functional roles. Examples include structural batteries, conductive fiber composites, flexible electronics, printable sensors, solid-state batteries, wide-band-gap semiconductors, and metamaterials with engineered electromagnetic response. Silicon carbide and gallium nitride enable high-temperature and high-frequency power electronics because of their wide band gaps and strong breakdown fields. Two-dimensional materials, including graphene and transition-metal dichalcogenides, offer unusual electrical, optical, and sensing properties, although scalable manufacturing and contact resistance remain challenges. Artificial intelligence is increasingly used for materials discovery, microstructure classification, battery state estimation, and predictive maintenance. Machine-learning predictions require reliable data, physically meaningful features, uncertainty estimates, and experimental validation. AI cannot replace electrochemical, mechanical, or reliability testing; it helps prioritize experiments and identify relationships that require engineering interpretation. Chapter SummaryElectronic and smart materials derive their behavior from electronic structure, polarization, magnetic ordering, defects, interfaces, and microstructure. Metals conduct because mobile electronic states are available, while semiconductors have controllable conductivity arising from band gaps, doping, and carrier transport. Dielectrics polarize under electric fields and can store electrostatic energy; ferroelectrics exhibit switchable spontaneous polarization; and piezoelectrics couple mechanical and electrical variables. Thermal transport occurs through electrons and phonons, with thermoelectric performance governed by the competing requirements represented in ZT. Magnetic materials are selected according to domain behavior, coercivity, saturation, hysteresis, and operating temperature. Optical and photovoltaic materials depend on photon energy and band gap. Batteries rely on reversible electrochemical reactions, while shape-memory alloys use reversible martensitic transformations for actuation. Engineering selection requires more than comparing a single property. Performance, frequency response, manufacturability, packaging, reliability, environmental impact, safety, regulation, and life-cycle cost must be considered together. The most effective designs integrate materials science with mechanics, electronics, thermal engineering, control, and data analysis. Key TermsBand gap: Forbidden energy interval between allowed electronic bands. Fermi level: Energy associated with the occupation probability of electronic states. Semiconductor: Material whose conductivity lies between that of a conductor and an insulator and can be controlled by temperature or doping. Doping: Intentional introduction of impurities to control carrier concentration. p–n junction: Interface between p-type and n-type semiconductor regions. Dielectric: Electrical insulator that can be polarized by an electric field. Permittivity: Measure of a material’s electric displacement response to an electric field. Polarization: Electric dipole moment per unit volume. Ferroelectric: Material with switchable spontaneous polarization. Piezoelectricity: Coupled mechanical and electrical response in a non-centrosymmetric material. Magnetization: Magnetic moment per unit volume. Coercivity: Reverse magnetic field required to reduce magnetization to a specified state. Thermoelectric effect: Coupled generation of voltage and heat flow. Electrochemical cell: Device that converts chemical and electrical energy through redox reactions. Intercalation: Reversible insertion of ions into a host crystal structure. Shape-memory alloy: Alloy that recovers a trained shape through reversible phase transformation. Sensor: Device that converts a physical or chemical quantity into a signal. Actuator: Device that converts energy or a command signal into physical action. Hysteresis: Dependence of a response on the prior history of loading or field. Smart material: Material that responds in a controlled way to an external stimulus. Review QuestionsShort Answer Questions- Why do metals generally have higher electrical conductivity than insulators?
- Distinguish intrinsic, n-type, and p-type semiconductors.
- List four mechanisms that contribute to dielectric polarization.
- What is the difference between soft and hard magnetic materials?
- State the physical basis of the shape-memory effect.
Long Answer Questions- Explain electronic band structure and use it to compare metals, semiconductors, and insulators.
- Describe the formation and operation of a p–n junction, including forward and reverse bias.
- Explain dielectric, ferroelectric, and piezoelectric behavior and identify engineering applications of each.
- Discuss the design trade-offs in thermoelectric materials using the figure of merit ZT.
- Explain the operating principles, degradation mechanisms, and safety requirements of lithium-ion batteries.
Analytical / Application Questions- A sensor must operate at high temperature, detect small dynamic strains, and survive repeated cycling. Compare a metallic strain gauge, piezoelectric ceramic, and shape-memory alloy sensor, then justify a selection.
- A machine designer must choose between a piezoelectric actuator and a shape-memory actuator for rapid vibration suppression. Analyze response speed, force, displacement, hysteresis, control complexity, and environmental requirements.
- Propose a materials-selection and validation plan for a compact battery-powered robotic joint using an electronic position sensor, actuator, and rechargeable battery. Include performance, reliability, sustainability, and regulatory considerations.
Multiple Choice Questions with AnswersQuestion 1Which feature most directly distinguishes an intrinsic semiconductor from an insulator? A. The intrinsic semiconductor has a smaller band gap. B. The intrinsic semiconductor has no valence electrons. C. The intrinsic semiconductor is always metallic. D. The intrinsic semiconductor cannot generate holes. Correct Answer: A. The intrinsic semiconductor has a smaller band gap. Question 2For a material in which electrons are the only significant carriers, which relation gives electrical conductivity? A. σ = k∇T B. σ = nqμ C. σ = εE D. σ = hν Correct Answer: B. σ = nqμ Question 3What is the principal function of donor dopants in an n-type semiconductor? A. They create additional mobile electrons. B. They eliminate the conduction band. C. They produce permanent magnetic domains. D. They prevent all thermal excitation. Correct Answer: A. They create additional mobile electrons. Question 4Which property is characteristic of a ferroelectric material? A. Switchable spontaneous polarization B. Zero atomic polarizability C. Permanent absence of hysteresis D. Electrical conductivity equal to that of copper Correct Answer: A. Switchable spontaneous polarization Question 5The direct piezoelectric effect converts mechanical stress primarily into what output? A. Magnetic flux B. Electric charge or voltage C. Chemical fuel D. Permanent plastic strain Correct Answer: B. Electric charge or voltage Question 6In the thermoelectric figure of merit ZT = S2σT/k, which change generally improves ZT if other variables are unchanged? A. Increasing thermal conductivity k B. Decreasing Seebeck coefficient S C. Increasing electrical conductivity σ D. Decreasing absolute temperature T to zero in all cases Correct Answer: C. Increasing electrical conductivity σ Question 7Which magnetic material is most appropriate for a transformer core operating under alternating magnetization? A. A hard permanent magnet with high coercivity B. A soft magnetic material with low hysteresis loss C. A nonmagnetic polymer with high elongation D. A ferroelectric ceramic Correct Answer: B. A soft magnetic material with low hysteresis loss Question 8A photon has energy related to wavelength by Eph = hc/λ. What happens to photon energy as wavelength decreases? A. It decreases linearly to zero. B. It remains constant. C. It increases. D. It becomes independent of frequency. Correct Answer: C. It increases. Question 9Which mechanism is central to the operation of a shape-memory alloy actuator? A. Reversible martensitic transformation B. Irreversible melting and solidification during every cycle C. Electron emission from a vacuum surface D. Permanent fracture of martensite Correct Answer: A. Reversible martensitic transformation Question 10Which factor is a recognized cause of lithium-ion battery degradation? A. Solid-electrolyte-interphase growth B. Complete elimination of all electrode interfaces C. Perfectly uniform temperature at all times D. Absence of electrochemical reactions Correct Answer: A. Solid-electrolyte-interphase growth
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