Electron-phonon coupling and hot electron thermalization in titanium nitride
Stefano Dal Forno, Johannes Lischner

TL;DR
This study investigates hot carrier thermalization in titanium nitride using first-principles calculations, revealing faster thermalization times than gold due to stronger electron-phonon coupling, especially in defective TiN.
Contribution
First-principles analysis of electron-phonon interactions in TiN, including defects, providing new insights into hot carrier dynamics and thermalization times.
Findings
Thermalization occurs faster in TiN than in gold.
Defects like nitrogen vacancies increase thermalization time.
Maximum thermalization time is about 200 femtoseconds at high electron temperatures.
Abstract
We have studied the thermalization of hot carriers in both pristine and defective titanium nitride (TiN) using a two-temperature model. All parameters of this model, including the electron-phonon coupling parameter, were obtained from first-principles density-functional theory calculations. The virtual crystal approximation was used to describe defective systems. We find that thermalization of hot carriers occurs on much faster time scales than in gold as a consequence of the significantly stronger electron-phonon coupling in TiN. Specifically, the largest thermalization times, on the order of 200 femtoseconds, are found in TiN with nitrogen vacancies for electron temperatures around 4000 K.
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Electron-phonon coupling and hot electron thermalization in titanium nitride
Stefano Dal Forno
Department of Physics, Imperial College London, London SW7 2AZ, United Kingdom.
Johannes Lischner
Department of Physics and Department of Materials, and the Thomas Young Centre for Theory and Simulation of Materials, Imperial College London, London SW7 2AZ, United Kingdom
Abstract
We have studied the thermalization of hot carriers in both pristine and defective titanium nitride (\chTiN) using a two-temperature model. All parameters of this model, including the electron-phonon coupling parameter, were obtained from first-principles density-functional theory calculations. The virtual crystal approximation was used to describe defective systems. We find that thermalization of hot carriers occurs on much faster time scales than in gold as a consequence of the significantly stronger electron-phonon coupling in \chTiN. Specifically, the largest thermalization times, on the order of 200 femtoseconds, are found in \chTiN with nitrogen vacancies for electron temperatures around 4000 K.
keywords:
hot electrons, two temperature model, titanium nitride, electron-phonon interaction, virtual-crystal approximation
1 Introduction
Titanium nitride (TiN) is a metal with a high melting point and good electrical and thermal conductivities 1, 2, 3, 4, 5. It has been used in a number of industrial applications as a coating material because of its favorable mechanical and thermal properties 6. Recently, \chTiN has attracted significant interest as a cheap material for plasmonic applications because of its attractive optical properties 7, 8. Specifically, \chTiN can sustain very high power illumination without melting and hence it is a promising material for hot-carrier devices 9, 10, 11.
The dynamics of photoexcited electrons and holes in \chTiN has been studied using pump-probe spectroscopy 12, 13, 14, 15, 16, 17. In this technique, the distribution of electrons is driven out of equilibrium via the absorption of photons (pump pulse), while the phonons initially retain their equilibrium occupancies. The resulting highly non-thermal population of electrons equilibrates within 10 – 100 femtoseconds due to electron-electron scattering. At later times on the scale of a few picoseconds, the interaction with phonons becomes the main thermalization channel and leads to the cooling of the electrons. Eventually, the electron and phonon systems reach an equilibrium temperature and heat diffusion returns the system to its initial state.
A specific challenge in understanding hot-carrier thermalization in \chTiN is the role of defects. \chTiN is known to be a highly non-stoichiometric material with oxygen defects and nitrogen vacancies being the most common defects of real \chTiN samples 18, 19, 20, 21. Defective \chTiN can crystallize in a number of different structures depending on the defects concentration 22, 23, 24.
First-principles calculations can give detailed insights into the properties of electrons, phonons and their interactions in TiN 25, 26, 27. Ab initio density functional theory (DFT) calculations have been carried out to investigate the optical and plasmonic properties of bulk and surface \chTiN 28, 29, 30, 31, 11. Recently, Habib, Florio and Sundararaman studied electron-phonon interactions and hot-carrier thermalization of various transition metal nitrides, but only considered defect-free systems 32.
In this paper, we study the thermalization of photo-excited electrons due to interactions with phonons in both pristine and defective \chTiN from first principles. In particular, we calculate properties of electrons and phonons as well as electron-phonon coupling strengths and use these results to determine the material-specific parameters of a two temperature model (2TM). Defects, such as nitrogen vacancies and oxygen substitutionals, are described via the virtual crystal approximation (VCA) 33. This allows us to make detailed predictions for the electron thermalization times in pristine and defective \chTiN as function of the illumination intensity. We find that electron thermalization in \chTiN occurs on time scales of less than a picosecond – significantly faster than in gold which is often used for plasmonic applications.
2 Methods
In recent years, a variety of methods have been developed to describe the ultrafast dynamics of electrons and nuclei in materials from first principles 34, 35, 36. Ab initio time-dependent density-functional theory has been employed to explain pump-probe experiments in molecules and solids 37, 38, 39. This method describes the dynamics of electrons with high accuracy, but approximations, such as the Ehrenfest approach, are required to deal with the nuclear dynamics 40. Alternatively, semiclassical approaches based on the Boltzmann equation - sometimes with material-specific parameters from first-principles calculations - have been used 41, 42, 43, 44. Frequently, however, experimental pump-probe experiments are analyzed using the simpler two-temperature model (2TM), which can be derived from the Boltzmann equation 45. Owing to its simplicity, the 2TM can be applied to complex systems, such as nanoparticles or disordered materials, which are challenging to model with ab initio techniques 46, 47, 48.
Here, we employ the 2TM to describe the ultrafast thermalization of photoexcited electrons in TiN due to interactions with phonons. In this approach, the time evolution of the electron and phonon temperatures, and , is determined by the two coupled differential equations
[TABLE]
Here, and denote the electron and phonon heat capacities, and are the electron and phonon thermal conductivities, is the external power source and is the electron-phonon coupling factor, which in general depends on both the electron and phonon temperatures.
Application of the 2TM to TiN nanostructures, such as thin films, allows for certain simplifications. First, we note that the terms containing the thermal conductivities can be safely neglected because the temperature of the nanostructure will quickly become spatially uniform 49, 50. Also, instead of choosing an explicit form for , the following boundary conditions are chosen: we assume the initial electron temperature to be the temperature of the hot electron gas after illumination by the pump pulse and thermalization due to electron-electron interactions.
With these assumptions, we can subtract the two equations and obtain
[TABLE]
In general, Eq. (2) cannot be solved analytically since , and depend on the electron or phonon temperatures. However, if this dependency is ignored, the electron temperature is found to be
[TABLE]
where is the initial electron temperature and is the temperature of the material when equilibrium has been reached. In the above equation, the hot electron thermalization time due to electron-phonon scattering has been defined as
[TABLE]
We have verified through explicit numerical solution of Eq. (2) that the analytical expression for yields accurate results for TiN.
To obtain the value of for TiN, we determine all material-specific parameters from first-principles calculations based on density-functional theory 51. Specifically, the electron and phonon heat capacities are given by
[TABLE]
[TABLE]
where , , and are the electron and phonon density of states and the Fermi-Dirac and Bose-Einstein distributions, respectively. We do not take the temperature dependence of the density of states into account which is an excellent approximation K 52, 53, 54. Also, we set K since we are interested in processes which are much faster than the heat diffusion by phonons.
The electron-phonon coupling parameter is given by
[TABLE]
where is the electron density of states at the Fermi level and is the second moment of the Eliashberg function (defined below). Eq. (7) rests on two approximations. First, the momentum-dependent electron-phonon matrix elements have been averaged over the first Brillouin zone (isotropic approximation). Second, the phonon energies are assumed to be small compared to and hence only transitions occurring near the Fermi surface are taken into account. As a result, is independent of the phonon temperature and can be computed straightforwardly from first principles. We further neglect non-equilibrium effects in 55.
At low electron temperatures, the expression for can be further simplified to yield
[TABLE]
Inserting this expression into Eq. 4 yields
[TABLE]
This important result for the electron thermalization time in metals due to phonon scattering was first obtain by Allen 45.
Finally, we define the isotropic Eliashberg function, its -th moment and the phonon linewidths as
[TABLE]
[TABLE]
[TABLE]
where are the electron-phonon matrix elements of an electronic transition from state to state induced by a phonon of frequency and is the volume of the first Brillouin zone. Eq. (12) relies on the double-delta approximation valid for . Equations (10), (11) and (12) reveal an interesting connection between phonon linewidths (which are typically measured in vibrational spectroscopy experiments) and electron relaxation times (which are measured in pump-probe experiments). In particular, which determines the electron relaxation time can be expressed as a sum over phonon linewidths. Thus, analysis of the phonon linewidths allows us to identify the most important relaxation channels that contribute to electron relaxation. Further details on the Green’s function formalism used to obtain Eqs. (10), (11), (12) can be found in the review by Giustino 56.
2.1 Computational details
We performed density functional theory (DFT) calculations of the electronic states, phonons and electron-phonon matrix elements of TiN using the Quantum Espresso software package 57. We focus on the dominant rock salt structure and consider both pristine and defective systems. Specifically, we carry out calculations for nitrogen-deficient \chTiN_x (0.84 x < 1.00) and also for systems with oxygen substitutional defects \chTiN_xO_1-x (0.80 x < 1.00). The following stoichiometries were investigated: \chTiN, \chTiN_0.80O_0.20, \chTiN_0.85O_0.15, \chTiN_0.90O_0.10, \chTiN_0.95O_0.05, \chTiN_1.00, \chTiN_0.97, \chTiN_0.94, \chTiN_0.91, \chTiN_0.88 and \chTiN_0.84. To model defective \chTiN systems we used the virtual crystal approximation (VCA) as explicit electron-phonon calculations on supercells including defects are numerically prohibitive. The VCA captures average changes in the atomic mass, but also electronic effects, such as changes in the Fermi level, the density of states 58, 59, 60and also electron-phonon interaction in complex materials 61, 62. We note, however, that the VCA does not capture all defect-induced relaxation channels and therefore the calculated relaxation times should be interpreted as upper bounds to the experimentally measured ones.
We employed ultra-soft pseudopotentials and the BLYP exchange-correlation functional 63, 64. We use wavefunction and charge density cutoffs of 60 Ry and 600 Ry, respectively, and a k-point mesh. The Marzari-Vanderbilt cold smearing approach is used for the occupancies with a broadening of 0.02 Ry 65. For comparison, we also present results for Au where hot electron thermalization has been extensively studied and is well understood 66, 67, 55, 51, 68.
For each system, we first determine the relaxed unit cell size. For pristine \chTiN we find Bohr, in good agreement with the experimental value Bohr 23. For the relaxed systems, we obtain phonon properties using a k-point grid and an energy convergence threshold of Ry. Finally, the electron-phonon matrix elements are interpolated onto a fine k-point grid. The electron-phonon calculations have been converged with respect to the broadening parameter of the double-delta approximation with values of ranging from 0.2 Ry to 0.5 Ry depending on the system under consideration.
3 Results
Figure 1 shows the calculated electronic band structures and densities of states of \chTiN_0.80O_0.20, \chTiN, \chTiN_0.84 and Au. The results for the other stoichiometries are provided in the supplementary information. Pristine \chTiN has a metallic character with several bands crossing the Fermi level near the and points. The density of states at the Fermi level is found to be 0.92 states/eV per unit cell. Considering \chTiN_0.80O_0.20, we find that oxygen substitutionals increase the electron density and shift the Fermi level to a higher energy. The density of states at the Fermi level increases to 1.0 states/eV per unit cell. In contrast, the presence of nitrogen vacancies in \chTiN_0.84 reduces the electron density and leads to significant qualitative changes in the band structure. The electron density of states at the Fermi level is reduced to 0.57 states/eV per unit cell. For comparison, the gold band structure shows bands crossing the Fermi level near the and points and a DOS of 0.30 states/eV per unit cell at the Fermi level.
Figure 2 shows the phonon dispersion relations and the corresponding phonon densities of states of \chTiN_0.80O_0.20, \chTiN, \chTiN_0.84 and Au. Again, results for the other stoichiometries are provided in the supplementary materials. For pristine \chTiN, the highest phonon frequency is found to be meV corresponding to a Debye temperature of K. Comparing to the defective systems, we find that oxygen substitutionals lower the Debye temperature, while nitrogen vacancies increase it. Also shown are the phonon linewidths due to electron-phonon interactions. We find that the acoustic modes in \chTiN and \chTiN_0.80O_0.20 exhibit large linewidths near the and points. The optical phonon bands possess a finite linewidth throughout the entire Brillouin zone indicating that these modes interact strongly with electrons. In contrast, the nitrogen-deficient system \chTiN_0.84 exhibits smaller linewidths indicating weaker electron-phonon coupling. For comparison, we obtain a Debye temperature of K for Au in excellent agreement with previous works 69. Phonon linewidths in Au are two orders of magnitude smaller than in \chTiN (note that the linewidths of Au in Fig. 2 were increased by a factor of 100 compared to \chTiN for plotting).
Figure 3 shows the second moment of the Eliashberg function and the density of states of states at the Fermi level for pristine and defective \chTiN. As the concentration of nitrogen vacancies increases, both and decrease. In contrast, as the concentration of oxygen substitutionals increases, the value of decreases while is rising. Another effect that influences is the change of the average atomic mass in defective samples as the electron-phonon matrix elements are proportional to the inverse square root of the atomic mass. However, we find that the changes in are significantly larger than estimates based on the inverse mean atomic mass. This suggests that changes in are the dominant factor that determines in defective TiN.
Figure 4 shows the electron and phonon heat capacities for pristine \chTiN, \chTiN_0.80O_0.20, \chTiN_0.84 and gold as function of temperature. As expected of metals, the electron heat capacity increases linearly at low temperatures for all systems. The phonon specific heat is proportional to at low temperatures and reaches a constant value when the temperature is larger than the Debye temperature. Comparing the pristine and defective \chTiN systems, we observe only relatively small differences: while the electron and phonon specific heats of \chTiN and \chTiN_0.80O_0.20 are almost identical, \chTiN_0.84 exhibits a slightly higher electron specific heat and a lower phonon specific heat. Even at high temperatures, the phonon specific heat is significantly larger than the electron specific heat for all systems. As a consequence, the phonon contribution to the electron thermalization time, see Eq. (4), is much smaller than the electron contribution and becomes a function of the electron temperature only 45, 70.
Figure 5 shows our results for the electron-phonon coupling parameter and the electron thermalization time for pristine \chTiN, \chTiN_0.80O_0.20, \chTiN_0.84 and gold as a function of the electron temperature. Again, the results for the other stoichiometries are provided in the supplementary information. As expected from Eq. (8), is relatively constant at low electron temperatures. \chTiN_0.80O_0.20 exhibits the largest coupling parameter and \chTiN_0.84 the smallest. This is in line with the trends for the electron density of states at the Fermi level and the second moments of the Eliashberg function discussed above. The thermalization times of all systems increase linearly with electron temperature as predicted by Eq. (9) and then reach a maximum after which starts to decrease again. For pristine \chTiN and \chTiN_0.80O_0.20, the maximum fs is reached at K. For \chTiN_0.84, the smaller electron-phonon coupling parameter leads to a larger maximum thermalization time of fs at K. For comparison, the maximum thermalization time of Au is found to be ps at K. This is in good agreement with pump-probe measurements using low pump fluences for Au that have observed electron thermalization times in the range of 1-10 ps 66, 67. Moreover, our low- value of and the calculated mass enhancement parameter of gold are in excellent agreement with experiments and previous DFT calculations 69, 55, 68. Note that the maximum thermalization time of Au is about two orders of magnitude larger than in \chTiN. This is a consequence of the significantly weaker electron-phonon coupling in Au.
Figure 6 compares the electron thermalization time of pristine \chTiN with defective samples. At low electron temperatures, the thermalization times of all systems are quite similar. At electron temperatures larger than K, clear differences between the various systems can be observed. Again, it can be seen that the introduction of oxygen substitutionals results in almost no change compared to pristine \chTiN. In contrast, nitrogen vacancies result in longer thermalization times. As discussed above, this is a consequence of the reduced electron-phonon coupling strength.
4 Conclusions
We have calculated hot carrier thermalization times due to electron-phonon interactions in both pristine and defective \chTiN systems. To validate our approach, we also carried out calculations for Au finding excellent agreement with previous theoretical and experimental work. The thermalization times of hot carriers in \chTiN are significantly shorter than in Au. Specifically, for defect-free \chTiN we obtain a maximum thermalization time of 0.15 ps, at least one order of magnitude smaller than in gold. While substitution of nitrogen atoms by oxygen atoms does not have a significant influence on thermalization times, introducing nitrogen vacancies increases the maximum thermalization time to 0.215 ps. Our findings will play an important role for the design of hot carrier devices based on titanium nitride via defect engineering.
{suppinfo}
DFT results for gold and all the \chTiN systems considered: \chAu, \chTiN_0.80O_0.20, \chTiN_0.85O_0.15, \chTiN_0.90O_0.10, \chTiN_0.95O_0.05, \chTiN_1.00, \chTiN_0.97, \chTiN_0.94, \chTiN_0.91, \chTiN_0.88, \chTiN_0.84. \chTiN systems have been ordered with respect to the number of electrons per unit cell.
{acknowledgement}
S.D.F. and J.L. acknowledge support from EPRSC under Grant No. EP/N005244/1 and also from the Thomas Young Centre under Grant No. TYC-101. Via J.L.’s membership of the UK’s HEC Materials Chemistry Consortium, which is funded by EPSRC (EP/L000202), this work used the ARCHER UK National Supercomputing Service.
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