© 2010 Eric Pop, UIUCECE 598EP: Hot Chips Classical Theory Expectations Equipartition: 1/2k B T per degree of freedom In 3-D electron gas this means 3/2k.

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Presentation transcript:

© 2010 Eric Pop, UIUCECE 598EP: Hot Chips Classical Theory Expectations Equipartition: 1/2k B T per degree of freedom In 3-D electron gas this means 3/2k B T per electron In 3-D atomic lattice this means 3k B T per atom (why?) So one would expect: C V = du/dT = 3/2n e k B + 3n a k B Dulong & Petit (1819!) had found the heat capacity per mole for most solids approaches 3N A k B at high T 32 Molar heat high T  25 J/mol/K

© 2010 Eric Pop, UIUCECE 598EP: Hot Chips Heat Capacity: Real Metals So far we’ve learned about heat capacity of electron gas But evidence of linear ~T dependence only at very low T Otherwise C V = constant (very high T), or ~T 3 (intermediate) Why? 33 C v = bT due to electron gas due to atomic lattice

© 2010 Eric Pop, UIUCECE 598EP: Hot Chips Heat Capacity: Dielectrics vs. Metals Very high T: C V = 3nk B (constant) both dielectrics & metals Intermediate T:C V ~ aT 3 both dielectrics & metals Very low T:C V ~ bT metals only (electron contribution) 34 C v = bT

© 2010 Eric Pop, UIUCECE 598EP: Hot Chips 35 Phonons: Atomic Lattice Vibrations Phonons = quantized atomic lattice vibrations ~ elastic waves Transverse ( u  k ) vs. longitudinal modes ( u || k ), acoustic vs. optical “Hot phonons” = highly occupied modes above room temperature CO 2 molecule vibrations transverse small k transverse max k=2/a k Graphene Phonons [100] 200 meV 160 meV 100 meV 26 meV = 300 K Frequency ω (cm -1 ) ~63 meV Si optical phonons

© 2010 Eric Pop, UIUCECE 598EP: Hot Chips A Few Lattice Types Point lattice (Bravais) –1D –2D –3D 36

© 2010 Eric Pop, UIUCECE 598EP: Hot Chips Primitive Cell and Lattice Vectors Lattice = regular array of points {R l } in space repeatable by translation through primitive lattice vectors The vectors a i are all primitive lattice vectors Primitive cell: Wigner-Seitz 37

© 2010 Eric Pop, UIUCECE 598EP: Hot Chips Silicon (Diamond) Lattice Tetrahedral bond arrangement 2-atom basis Each atom has 4 nearest neighbors and 12 next-nearest neighbors What about in (Fourier-transformed) k-space? 38

© 2010 Eric Pop, UIUCECE 598EP: Hot Chips Position  Momentum (k-) Space The Fourier transform in k-space is also a lattice This reciprocal lattice has a lattice constant 2π/a 39 k S a (k)

© 2010 Eric Pop, UIUCECE 598EP: Hot Chips Atomic Potentials and Vibrations Within small perturbations from their equilibrium positions, atomic potentials are nearly quadratic Can think of them (simplistically) as masses connected by springs! 40

© 2010 Eric Pop, UIUCECE 598EP: Hot Chips Vibrations in a Discrete 1D Lattice Can write down wave equation Velocity of sound (vibration propagation) is proportional to stiffness and inversely to mass (inertia) 41 See C. Kittel, Ch. 4 or G. Chen Ch. 3

© 2010 Eric Pop, UIUCECE 598EP: Hot Chips Two Atoms per Unit Cell 42 Lattice Constant, a xnxn ynyn y n-1 x n+1 Frequency, Wave vector, K 0 /a LA TA LO TO Optical Vibrational Modes

© 2010 Eric Pop, UIUCECE 598EP: Hot Chips Energy Stored in These Vibrations Heat capacity of an atomic lattice C = du/dT = Classically, recall C = 3Nk, but only at high temperature At low temperature, experimentally C  0 Einstein model (1907) –All oscillators at same, identical frequency (ω = ω E ) Debye model (1912) –Oscillators have linear frequency distribution (ω = v s k) 43

© 2010 Eric Pop, UIUCECE 598EP: Hot Chips The Einstein Model All N oscillators same frequency Density of states in ω (energy/freq) is a delta function Einstein specific heat 44 Frequency, 0 /a Wave vector, k

© 2010 Eric Pop, UIUCECE 598EP: Hot Chips Einstein Low-T and High-T Behavior High-T (correct, recover Dulong-Petit): Low-T (incorrect, drops too fast) 45 Einstein model OK for optical phonon heat capacity

© 2010 Eric Pop, UIUCECE 598EP: Hot Chips The Debye Model Linear (no) dispersion with frequency cutoff Density of states in 3D: (for one polarization, e.g. LA) (also assumed isotropic solid, same v s in 3D) N acoustic phonon modes up to ω D Or, in terms of Debye temperature 46 Frequency, 0 Wave vector, k /a k D roughly corresponds to max lattice wave vector (2 π/a) ω D roughly corresponds to max acoustic phonon frequency

© 2010 Eric Pop, UIUCECE 598EP: Hot Chips 47 Annalen der Physik 39(4) p. 789 (1912) Peter Debye ( )

© 2010 Eric Pop, UIUCECE 598EP: Hot Chips Website Reminder 48

© 2010 Eric Pop, UIUCECE 598EP: Hot Chips The Debye Integral Total energy Multiply by 3 if assuming all polarizations identical (one LA, and 2 TA) Or treat each one separately with its own (v s,ω D ) and add them all up C = du/dT 49 Frequency, 0 Wave vector, k /a people like to write: (note, includes 3x)

© 2010 Eric Pop, UIUCECE 598EP: Hot Chips Debye Model at Low- and High-T 50 At low-T (< θ D /10): At high-T: (> 0.8 θ D ) “Universal” behavior for all solids In practice: θ D ~ fitting parameter to heat capacity data θ D is related to “stiffness” of solid as expected

© 2010 Eric Pop, UIUCECE 598EP: Hot Chips Experimental Specific Heat 51 Classical Regime Each atom has a thermal energy of 3K B T Specific Heat (J/m 3 -K) Temperature (K) C  T 3 3kBT3kBT Diamond In general, when T << θ D

© 2010 Eric Pop, UIUCECE 598EP: Hot Chips Phonon Dispersion in Graphene 52 Maultzsch et al., Phys. Rev. Lett. 92, (2004) Optical Phonons Yanagisawa et al., Surf. Interf. Analysis 37, 133 (2005)

© 2010 Eric Pop, UIUCECE 598EP: Hot Chips Heat Capacity and Phonon Dispersion Debye model is just a simple, elastic, isotropic approximation; be careful when you apply it To be “right” one has to integrate over phonon dispersion ω(k), along all crystal directions See, e.g. 53

© 2010 Eric Pop, UIUCECE 598EP: Hot Chips Thermal Conductivity of Solids 54 how do we explain the variation? thermal conductivity spans ~10 5 x (electrical conductivity spans >10 20 x)

© 2010 Eric Pop, UIUCECE 598EP: Hot Chips Kinetic Theory of Energy Transport 55 z z - z z + z u(z- z ) u(z+ z ) λ  qzqz Net Energy Flux / # of Molecules through Taylor expansion of u Integration over all the solid angles  total energy flux Thermal conductivity:

© 2010 Eric Pop, UIUCECE 598EP: Hot Chips Simple Kinetic Theory Assumptions Valid for particles (“beans” or “mosquitoes”) –Cannot handle wave effects (interference, diffraction, tunneling) Based on BTE and RTA Assumes local thermodynamic equilibrium: u = u(T) Breaks down when L ~ _______ and t ~ _________ Assumes single particle velocity and mean free path –But we can write it a bit more carefully: 56

© 2010 Eric Pop, UIUCECE 598EP: Hot Chips Phonon MFP and Scattering Time Group velocity only depends on dispersion ω(k) Phonon scattering mechanisms –Boundary scattering –Defect and dislocation scattering –Phonon-phonon scattering 57

© 2010 Eric Pop, UIUCECE 598EP: Hot Chips Temperature Dependence of Phonon K TH 58 Cλ  low T  T d n ph  0, so λ  , but then λ  D (size)  T d high T3Nk B  1/T

© 2010 Eric Pop, UIUCECE 598EP: Hot Chips Ex: Silicon Film Thermal Conductivity 59

© 2010 Eric Pop, UIUCECE 598EP: Hot Chips Ex: Silicon Nanowire Thermal Conductivity Recall, undoped bulk crystalline silicon k ~ 150 W/m/K (previous slide) 60 Li, Appl. Phys. Lett. 83, 2934 (2003) Nanowire diameter

© 2010 Eric Pop, UIUCECE 598EP: Hot Chips Ex: Isotope Scattering 61 ~T 3 ~1/T isotope ~impurity

© 2010 Eric Pop, UIUCECE 598EP: Hot Chips Why the Variation in K th ? A: Phonon λ(ω) and dimensionality (D.O.S.) Do C and v change in nanostructures? (1D or 2D) Several mechanisms contribute to scattering –Impurity mass-difference scattering –Boundary & grain boundary scattering –Phonon-phonon scattering 62

© 2010 Eric Pop, UIUCECE 598EP: Hot Chips Surface Roughness Scattering in NWs What if you have really rough nanowires? Surface roughness Δ ~ several nm! Thermal conductivity scales as ~ (D/Δ)2 Can be as low as that of a-SiO 2 (!) for very rough Si nanowires 63 smooth Δ=1-3 Å rough Δ= nm

© 2010 Eric Pop, UIUCECE 598EP: Hot Chips Data and Model From… 64 Data… Model… (Hot Chips class project)

© 2010 Eric Pop, UIUCECE 598EP: Hot Chips What About Electron Thermal Conductivity? Recall electron heat capacity Electron thermal conductivity 65 at most T in 3D Mean scattering time:  e = _______ Electron Scattering Mechanisms Defect or impurity scattering Phonon scattering Boundary scattering (film thickness, grain boundary)

© 2010 Eric Pop, UIUCECE 598EP: Hot Chips Ex: Thermal Conductivity of Cu and Al Electrons dominate k in metals 66 Matthiessen Rule:

© 2010 Eric Pop, UIUCECE 598EP: Hot Chips Wiedemann-Franz Law Wiedemann & Franz (1853) empirically saw k e /σ = const(T) Lorenz (1872) noted k e /σ proportional to T 67 where recall electrical conductivity taking the ratio

© 2010 Eric Pop, UIUCECE 598EP: Hot Chips Lorenz Number 68 This is remarkable! It is independent of n, m, and even  ! L =  /  T WΩ/K 2 Metal0 ° C100 °C Cu Ag Au Zn Cd Mo Pb Agreement with experiment is quite good, although L ~ 10x lower when T ~ 10 K… why?! Experimentally

© 2010 Eric Pop, UIUCECE 598EP: Hot Chips Amorphous Material Thermal Conductivity 69 Amorphous (semi)metals: both electrons & phonons contribute Amorphous dielectrics: K saturates at high T (why?) a-Si a-SiO 2 GeTe

© 2010 Eric Pop, UIUCECE 598EP: Hot Chips Summary Phonons dominate heat conduction in dielectrics Electrons dominate heat conduction in metals (but not always! when not?!) Generally, C = C e + C p and k = k e + k p For C: remember T dependence in “d” dimensions For k: remember system size, carrier λ’s (Matthiessen) In metals, use WFL as rule of thumb 70