Physics Research International

Volume 2011, Article ID 536183, 7 pages

http://dx.doi.org/10.1155/2011/536183

## First Principles Computations of Second-Order Elastic Constants (SOEC) and Equations of State of Rutile
TiO_{2}

Electrical Engineering Department, Michigan Technological University, 1400 Townsend Drive, Houghton, MI 49931, USA

Received 9 April 2011; Revised 20 June 2011; Accepted 21 June 2011

Academic Editor: Ravindra R. Pandey

Copyright © 2011 Ghous Narejo and Warren F. Perger. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

#### Abstract

First principles computations of second-order elastic constants (SOECs) and bulk moduli (*B*) are carried out by ELASTCON and equation of state (EOS) programs. Computational results of lattice parameters, elastic constants, and bulk moduli are obtained with a wide variety of potentials and a limited combination of basis sets and are compared with computational and experimental results by other researchers in the field. DFT hybrid potentials provided the best comparison with the experiment.

#### 1. Introduction

Titanium dioxide () is an important transition metal oxide, which exists in anatase, rutile, and brookite phases [1]. There is a considerable interest in the fabrication [2] of this material. It is employed extensively in semiconductors, optical devices, photovoltaic cells, gas sensors, and electrochemical storage devices [3]. Due to its technological importance, the crystalline structure and properties of rutile phases have remained a major focus of researchers [1, 4, 5].

* Ab-initio* Hartree Fock (HF) and density functional theory (DFT) techniques have been employed by various research groups to compute the optimized electronic structure, band gap, and charge density of rutile [1, 6–8].

The * ab-initio* computation of the elastic constants and bulk moduli of rutile is presented in this work using the CRYSTAL09 code [9]. The availability of precise and accurate values of experimental lattice parameters, elastic properties, [10] and chemical bonding [11] has provided a considerable challenge to *ab-initio* computational codes. Computational codes based upon the linear combination of atomic orbitals (LCAO) and plane waves (PW) were employed to compute the optimized crystalline structure of rutile [1, 6–8][5]. However, the inadequacy of the existing potentials [1, 6, 7] to accurately predict the physics of has motivated a detailed analysis of a wide range of existing and new potentials [6, 12]. Research on the structural and electronic properties has confirmed the relative accuracy of the hybrid potentials [1, 6, 7, 12].

There has been no systematic effort to explore the elastic properties of rutile using the LCAO code CRYSTAL09 [9]. CRYSTAL09 possesses a combination of geometry optimization techniques, basis sets, potentials, and algorithms such as ELASTCON [9] (for second-order elastic constants) and EOS (equation of state) [9]. The term ELASTCON represents a computational algorithm that calculates second-order elastic constants and bulk moduli in a highly automated manner. The algorithm possesses various parameters which can be explored to enhance the computational accuracy for a wide variety of crystalline systems. The experimental values of lattice parameters, elastic constants and bulk moduli [10] of the rutile phase provided an opportunity to confirm the relative merit of the self-consistent field (SCF) process, the ELASTCON, and EOS programs [13, 14].

#### 2. Potentials and Basis Sets

The HF, local and non-local DFT potentials have consistently resulted in inadequate results of the lattice parameters. First principles computations using PW codes [15–20] can not employ the hybrid mixing of HF exchange and DFT correlations.

Therefore, we employed hybrid potentials in our computations of elastic properties as suggested in [1, 6, 7]. The hybridization between the -orbitals and -orbitals requires that an adequate percentage of exchange and correlation is introduced in the potential while computing the electronic structure of a material [21]. The DFT-PWGGA and DFT-PBE potentials lack the exchange part and HF lacks the correlation part, barring them from being as accurate as hybrid potentials.

In addition to using hybrid potentials, the proper choice of basis sets, SCF tolerances, ELASTCON, and EOS parameters can achieve the optimum efficiency as well as accuracy (see Sections 5 and 7). Moreover, it is necessary to employ adequate SCF tolerances consistently.

We selected the O-8411d1 [22] and O-6311d1 [23] basis sets for atoms and defined these basis sets as basis set 1 and 2, respectively. Both basis sets used a pseudopotential basis set for the atom [9]. The aim of employing these combinations was to separate the basis set dependency from other factors such as potentials, SCF parameters, ELASTCON and EOS tolerances.

The sensitivity of the elastic properties with respect to deviations in the lattice parameters [1] suggests that a well-chosen HF, DFT, and hybrid potentials must be employed to compute the lattice parameters and understand their influences on the elastic constant values. The impact of a particular potential and basis set on the computational values of lattice parameters, elastic constants, and bulk moduli values can be understood by careful comparisons of results achieved for a variety of these basis sets and potentials.

Further, we have also compared our computational results for each potential and basis set combination with [1, 7] to confirm their findings.

#### 3. Computational Procedure

We employed two different basis sets and a variety of potentials to compute the optimized lattice constants and elastic properties (see Section 2 for the discussion of potentials and basis sets). The ELASTCON [9] and EOS [9] algorithms are employed to compute the elastic constants and bulk moduli of rutile in an automated manner.

The two basis sets employed are named as basis set 1 and 2 (see Section 2 for basis set definitions). Optimized lattice parameters are computed with HF, DFT, and hybrid potentials using the two unique basis sets. The computations of elastic constants and bulk moduli are performed by employing the ELASTCON algorithm [9]. The computations of the equation of state and bulk moduli are carried out by the EOS algorithm. Finally, the bulk moduli obtained with ELASTCON and EOS algorithms are compared.

Optimized lattice parameters, elastic constants, and bulk moduli, obtained with basis sets 1 and 2, are also compared with the experimental values where possible. A possible contribution of this research work is to assist a general reader in understanding the complex dependance of the elastic properties on the quality of basis sets, potentials, SCF process, ELASTCON, and EOS parameters. Experimental values of lattice parameters, elastic constants, and bulk moduli of rutile provide additional assistance for implementation of ELASTCON and EOS programs.

A significant number of computations and experiments have been conducted on rutile . It is also noticed that a high precision has been achieved in the experimental lattice parameters of rutile [24]. The availability of the experimental values of lattice constants, elastic constants, and bulk moduli of rutile provides a highly valuable resource to conduct new research. In contrast, computations of elastic constants and bulk moduli have been obtained in an isolated and nonsystematic manner.

A vast majority of * ab-initio* computations have already tried DFT exchange and correlation potentials [1, 7]. The need for hybrid potentials arose because HF underestimated and DFT potentials overestimated the lattice parameters of rutile . It has been found that the higher exchange and correlation associated with the transition metals requires new hybrid potentials with variable exchange and correlation [1, 7]. The HF, DFT, and hybrid potentials are employed in this work [9] to fill the gap with regard to the efficient, accurate, and systematic computation of elastic properties of rutile .

#### 4. Computational Algorithms

##### 4.1. ELASTCON

The computation of elastic constants and bulk moduli is an automated procedure within the ELASTCON algorithm. The computational process begins with determining the crystalline symmetry of rutile . The analytic first derivative and the numerical second derivative of the total energy are carried out for each specific strain. Levenberg Marquardt (LM) curve fitting [25] is used to compute the required elastic constants for the rutile symmetry.

The elastic constants can be extracted from the second derivative of the total energy as In (1), the terms , , and express the elastic constant tensor, energy, and volume of the crystalline structure, respectively.

The appropriate number of strains is applied in a systematic manner, the elastic constants are calculated, and the compliance coefficients are computed from (3). The compliance coefficients are then utilized for the computation of the bulk modulus as shown in the following:

The terms and in (2) express the compliance tensor elements and bulk modulus, respectively. Whereas the term represents the second-order elastic constant.

##### 4.2. EOS

The EOS algorithm [13] employs changes in the optimized volume of rutile in a systematic manner. Additionally, the EOS algorithm allows the user to select a range of volumes and number of volumes within that range. For each of the volumes in the range, the CRYSTAL09 optimizes the internal coordinates and lattice parameters while keeping the volume constant. The energy versus volume results are then curve-fitted to an EOS such as the Murnaghan EOS [26] shown in (4) (see [13] for the CVOLOPT option employed during the constant volume geometry optimization for EOS computations).

The EOS algorithm in CRYSTAL09 contains a diversity of equations of state such as Birch Murnaghan, third-order Birch Murnaghan, logarithmic, Vinet, and polynomial. The third-order Birch Murnaghan equation of state algorithm utilized for computing the bulk moduli from the energy versus volume computations for rutile is In (4), represents the volume at the minimum energy, is the bulk modulus at pressure , is the derivative of the bulk modulus at , and is the minimum energy.

The bulk moduli results are obtained with Levenberg-Marquardt curve fitting of the *E* versus *V* computations. The detailed discussion about the ELASTCON [9] and EOS [9] algorithms can be seen in [13, 14].

#### 5. Computational versus Experimental Attempts

Due to its technological importance, a significant number of experiments have been conducted on rutile [10, 20, 27]. The experimental results of the electronic structure, band gap, and optic and elastic properties are available for rutile . The lattice parameters of the rutile have been determined [24] precisely up to the fifth significant figure. In addition, the pressure and temperature dependence of elastic constants and bulk moduli have also been explored through experimental means.

The experimental and computational values of elastic constants and bulk moduli [10] of rutile have special significance as they serve the purpose of linking these vital branches of research. The importance of achieving a consistency in the lattice parameters of rutile among diverse experimental techniques and computational codes is a remarkable achievement which has been repeatedly observed [1, 6, 7].

However, there are deviations in the experimental values of elastic constants and bulk moduli due to their dependence on the experimental details, pressure, and temperature conditions [28]. Therefore, the sources that cause the variations in the experimental values [10, 28–30] must also be considered. However, the dependence of the experimental results on the nature of the experimental setup and ambient conditions can be explored and understood by robust and reliable *ab-initio* computational methods.

An increase in pressure has shown an increase in the elastic constants and bulk moduli values [31] for rutile . Moreover, the values of , , , , and increase with increasing pressure, whereas the pressure dependence of is not clear. Moreover, the elastic constants are nonlinearly dependent on the temperature.

Another important area where experiments were performed is the volume charge density and chemical bonding of rutile [11]. The quantitative convergent beam electron diffraction (QCBED) technique was employed to determine the experimental volume charge density and chemical bonding. The experimental data was utilized to confirm the contribution of ionic and covalent bonding in rutile . The experimental charge density maps predicted the *p*-*d* hybridization between 3- electrons and ligands.

The charge density influenced by highly localized -orbitals of atoms impacts the selection of proper basis sets and potentials in * ab-initio* computations (see Sections 2 and 7).

Unlike the precision in the experimental lattice parameters, the computational values of lattice parameters vary in the second significant figures. The variation in the lattice parameter values is partially due to the complex nature of the chemical bonding of rutile . Moreover, the sensitivity of the computational values of lattice parameters is attributed to the choice of potentials and basis sets. However, the hybrid potentials can map the chemical bonding and charge density of rutile with a considerable accuracy.

In general, the * ab-initio* computations are lacking the level of accuracy of the experiments. However, the extensive computational effort by [1, 6, 7, 34] has provided guidance for the present study.

#### 6. Computational Parameters

For the computation of lattice parameters and elastic properties, the SCF tolerances and other computational parameters were carefully chosen. The ELASTCON, EOS, and SCF tolerances were adjusted due to the highly localized nature of transition metal -orbitals. The ELASTCON and other parameters were chosen as STEPSIZE = 0.01, , LGRID = (75, 434), and SHRINK = . The SCF tolerances were fixed as TOLINTEG = 9 9 9 9 18 and TOLDEE = 9 [20].

#### 7. Discussion of Results

Table 1 shows the optimized lattice parameters computed with basis sets 1 and 2, respectively. The unit cell of rutile , computed with CRYSTAL09 code, is shown in Figure 1. The percentage deviation between the computational and experimental values of lattice parameters and volume is also shown for basis sets 1 and 2. The experimental values from [2, 4, 10] are provided at the bottom of Table 1. Agreement between the computational and experimental values of lattice parameters can be observed for basis sets 1 as well as 2.

Elastic constants and bulk moduli computed with ELASTCON are presented in Tables 2 and 3. Significant agreement between the computational and experimental values of elastic constants and bulk moduli is found for basis sets 1 and 2 which can be observed in Figures 2 and 3. The percentage deviation between the computational and experimental values of elastic constants and bulk moduli is shown in Tables 2 and 3.

Table 4 and Figure 3 show the comparisons between the bulk moduli values computed with ELASTCON and EOS algorithms. Excellent agreement is observed between the computational values of bulk moduli achieved with ELASTCON and EOS programs. The agreement between the bulk moduli values points at the computational accuracy of the ELASTCON and EOS programs. Moreover, it is important that the computational results should also be crosschecked with the experimental values of the bulk moduli given at the bottom of Table 4.

However, there is a considerable disagreement between the computational and experimental values of the elastic constants and for basis set 1 and 2 with HF and DFT-LDA potentials as shown in Tables 2 and 3. On the other hand, the computational values of the elastic constants and provide a significant agreement with the experimental values computed with DFT-PWGGA, DFT-PBE, and hybrid potentials for basis set 1 as shown in Table 2.

The hybrid potentials have shown better agreement due to the adequate percentage of exchange and correlation contributions to total energy of the crystal specifically important for the highly correlated physics of the transition metal. The localized nature of the atom -orbitals contributes to the higher exchange and correlation effects.

The HF, local DFT, and nonlocal DFT potentials cannot predict results as effectively as hybrid potentials. It can be easily seen in Tables 1–4. In fact, the lack of correlation in HF and the localized nature of DFT-LDA potentials make these potentials less effective for transition metal oxides which possess the covalent as well as ionic nature of chemical bonding.

It must be mentioned that DFT-PWGGA and DFT-PBE exhibit better agreement with experimental results due to the nonlocalized nature of the rutile volume charge density. However, the agreement between the DFT-PWGGA, DFT-PBE, and experimental results of elastic constants may not be adequate which can be confirmed by values in Tables 1, 3, and 4.

#### 8. Conclusions

The technological applications of titanium dioxide () have generated a significant research activity in experimental and computational sciences. Computational research has resulted in testing the merit of basis sets, potentials, and new programs. The employment of basis sets 1 and 2 has resulted in a considerable agreement between the computational and experimental values of lattice parameters, elastic constants, and bulk moduli. The elastic properties of rutile are computed and compared with experimental values. The dependance of experimental values on experimental setup, temperature, and pressure conditions cannot be ignored. The computations of elastic constants and bulk moduli by a wide variety of *ab-initio* techniques provide results to generate new experiments on this material.

We have separated the factors that determine the quality of computational results of the lattice parameters and elastic properties. The nonlocal DFT and hybrid potentials present better agreement with the experimental values of lattice parameters, elastic constants, and bulk moduli. However, the disagreement between the computational and experimental values of the elastic constants and bulk moduli for HF and DFT-LDA potentials [15, 16, 18] is significant.

The results presented for rutile with different potentials are motivated by a variety of challenges related to the existing potentials. For a crystalline system such as rutile , which has considerable visibility in the experimental research arena, an integrated set of computational results have significant utility. These computations can guide researchers to appreciate the subtle influences of the charge density on lattice parameters and elastic properties of rutile .

#### Acknowledgment

One of the authors (W. F. Perger) gratefully acknowledges the support of the Office of Naval Research Grant N00014-01-1-0802 through the MURI program.

#### References

- F. Labat, P. Baranek, C. Domain, C. Minot, and C. Adamo, “Density functional theory analysis of the structural and electronic properties of TiO
_{2}rutile and anatase polytypes: performances of different exchange-correlation functionals,”*The Journal of Chemical Physics*, vol. 126, no. 15, pp. 1–12, 2007. View at Publisher · View at Google Scholar · View at Scopus - S. Tanemuraa, L. Miaoa, W. Wunderlicha et al., “Fabrication and characterization of anatase/rutile—TiO
_{2}thin films by magnetron sputtering: a review,”*Science and Technology of Advanced Materials*, vol. 6, no. 1, pp. 11–17, 2005. View at Publisher · View at Google Scholar - S. D. Mo and W. Y. Ching, “Electronic and optical properties of three phases of titanium dioxide: rutile, anatase, and brookite,”
*Physical Review B*, vol. 51, no. 19, pp. 13023–13032, 1995. View at Publisher · View at Google Scholar · View at Scopus - H. Yao, L. Ouyang, and W. Y. Ching, “Ab initio calculation of elastic constants of ceramic crystals,”
*Journal of the American Ceramic Society*, vol. 90, no. 10, pp. 3194–3204, 2007. View at Publisher · View at Google Scholar · View at Scopus - D. I. Bilc, R. Orlando, R. Shaltaf, G. M. Rignanese, J. Íñiguez, and P. Ghosez, “Hybrid exchange-correlation functional for accurate prediction of the electronic and structural properties of ferroelectric oxides,”
*Physical Review B*, vol. 77, article 165107, no. 16, pp. 1–13, 2008. View at Publisher · View at Google Scholar · View at Scopus - F. Corá, “The performance of hybrid density functionals in solid state chemistry: the case of BaTiO
_{3},”*Molecular Physics*, vol. 103, no. 18, pp. 2483–2496, 2005. View at Publisher · View at Google Scholar · View at Scopus - C. Adamo and V. Barone, “Toward reliable density functional methods without adjustable parameters: the PBE0 model,”
*Journal of Chemical Physics*, vol. 110, no. 13, pp. 6158–6170, 1999. View at Google Scholar · View at Scopus - M. E. Stizaumainis, T. Ejima, and W. J. James, “The TiO
_{2}phase explored by the lattice constant and density method,”*Acta Crystallographica*, vol. 8, pp. 493–497, 1961. View at Google Scholar - R. Dovesi, V. R. Saunders, C. Roetti et al.,
*CRYSTAL09 User's Manual*, University of Torino, Torino, Italy, 2009. - M. Iuga, G. Steinle-Neumann, and J. Meinhardt, “Ab-initio simulation of elastic constants for some ceramic materials,”
*European Physical Journal B*, vol. 58, no. 2, pp. 127–133, 2007. View at Publisher · View at Google Scholar · View at Scopus - B. Jiang, J. M. Zuo, N. Jiang, M. O'Keeffe, and J. C. H. Spence, “Charge density and chemical bonding in rutile, TiO
_{2},”*Acta Crystallographica*, vol. 59, no. 4, pp. 341–350, 2003. View at Publisher · View at Google Scholar - F. Corá, M. Alfredsson, G. Mallia et al.,
*Principles and Applications of Density Functional Theory in Inorganic Chemistry II*, 2004. - W. F. Perger, J. Criswell, B. Civalleri, and R. Dovesi, “Ab-initio calculation of elastic constants of crystalline systems with the CRYSTAL code,”
*Computer Physics Communications*, vol. 180, no. 10, pp. 1753–1759, 2009. View at Publisher · View at Google Scholar · View at Scopus - W. F. Perger, “First-principles calculation of second-order elastic constants and equations of state for lithium azide, LiN
_{3}, and lead azide, Pb(N_{3})_{2},”*International Journal of Quantum Chemistry*, vol. 110, no. 10, pp. 1916–1922, 2010. View at Publisher · View at Google Scholar · View at Scopus - M. Mikami, S. Nakamura, O. Kitao, H. Arakawa, and X. Gonze, “First-principles study of titanium dioxide: rutile and anatase,”
*Japanese Journal of Applied Physics*, vol. 39, no. 8 B, pp. L847–L850, 2000. View at Google Scholar · View at Scopus - X. Ma, P. Liang, L. Miao et al., “Pressure-induced phase transition and elastic properties of TiO
_{2}polymorphs,”*Physica Status Solidi (B)*, vol. 246, no. 9, pp. 2132–2139, 2009. View at Publisher · View at Google Scholar · View at Scopus - Y. Liu, L. Ni, Z. Ren, G. Xu, C. Song, and G. Han, “Negative pressure induced ferroelectric phase transition in rutile TiO
_{ 2},”*Journal of Physics Condensed Matter*, vol. 21, article 275901, no. 27, 2009. View at Publisher · View at Google Scholar - J. Muscat, V. Swamy, and N. M. Harrison, “First-principles calculations of the phase stability of TiO
_{2},”*Physical Review B*, vol. 65, no. 22, Article ID 224112, pp. 2241121–22411215, 2002. View at Google Scholar · View at Scopus - E. Shojaee and M. R. Mohammadizadeh, “First-principles elastic and thermal properties of TiO
_{2}: a phonon approach,”*Journal of Physics Condensed Matter*, vol. 22, no. 1, pp. 1–8, 2010. View at Publisher · View at Google Scholar · View at Scopus - J.-Z. Zhao, G.-T. Wang, and Y.-C. Liang, “Mechanical properties and electronic structures of cotunnite TiO
_{2},”*Chinese Physics Letters*, vol. 25, no. 12, pp. 4356–4359, 2008. View at Publisher · View at Google Scholar · View at Scopus - G. Francois and K. Winfried, “Lattice dynamics of oxides with rutile structure and instabilities at the metal-semiconductor phase transitions of NbO
_{2}and VO_{2},”*Physical Review B*, vol. 31, no. 8, pp. 4809–4814, 1985. View at Publisher · View at Google Scholar · View at Scopus - T. Bredow, K. Jug, and R. A. Evarestov, “Electronic and magnetic structure of ScMnO
_{3},”*Physica Status Solidi*, vol. 243, no. 2, pp. R10–R12, 2006. View at Publisher · View at Google Scholar · View at Scopus - C. Gatti, V. R. Saunders, and C. Roetti, “Crystal field effects on the topological properties of the electron density in molecular crystals: the case of urea,”
*The Journal of Chemical Physics*, vol. 101, no. 12, pp. 10686–10696, 1994. View at Google Scholar · View at Scopus - B. H. O'Connor and S. Pratapa, “Improving the accuracy of Rietveld-derived parameters by an order of magnitude,”
*Advances in X-ray Analysis*, vol. 45, pp. 158–165, 2002. View at Google Scholar - W. Marquardt, “An algorithm for least-squares estimation of nonlinear parameters,”
*The SIAM Journal on Applied Mathematics*, vol. 11, pp. 431–444, 1963. View at Google Scholar - F. D. Murnaghan, “The compressibility of media under extreme pressures,”
*Proceedings of the National Academy of Sciences of the United States of America*, vol. 30, no. 9, pp. 244–247, 1944. View at Google Scholar - I. J. Fritz, “Pressure and temperature dependences of the elastic properties of rutile (TiO
_{2}),”*Journal of Physics and Chemistry of Solids*, vol. 35, no. 7, pp. 817–826, 1974. View at Google Scholar · View at Scopus - R. F. S. Hearmon, “The elastic constants of anisotropic materials,”
*Reviews of Modern Physics*, vol. 18, no. 3, pp. 409–440, 1946. View at Publisher · View at Google Scholar · View at Scopus - L. Gerward and J. S. Olsen, “Post-rutile high-pressure phases in TiO
_{2},”*Journal of Applied Crystallography*, vol. 30, no. 3, pp. 259–264, 1997. View at Google Scholar · View at Scopus - L. Kóci, D. Y. Kim, J. S. D. Almeida, M. Mattesini, M. M. E. Isaev, and R. Ahuja, “Mechanical stability of TiO
_{2}polymorphs under pressure:*ab initio*calculations,”*Journal of Physics Condensed Matter*, vol. 20, no. 34, Article ID 345218, 2008. View at Publisher · View at Google Scholar · View at Scopus - Z. Jun, Y. J. Xin, W. Y. Ju, C. X. Rong, and J. F. Qian, “First-principles calculations for elastic properties of rutile TiO
_{2}under pressure,”*Chinese Physics B*, vol. 17, no. 6, pp. 2216–2221, 2008. View at Google Scholar - J. K. Burdett, T. Hughbanks, G. J. Miller, J. W. Richardson, and J. V. Smith, “Structural-electronic relationships in inorganic solids: powder neutron diffraction studies of the rutile and anatase polymorphs of titanium dioxide at 15 and 295 K,”
*Journal of the American Chemical Society*, vol. 109, no. 12, pp. 3639–3646, 1987. View at Google Scholar · View at Scopus - S. Ogata, H. Iyetomi, K. Tsuruta et al., “Variable-charge interatomic potentials for molecular-dynamics simulations of TiO
_{2},”*Journal of Applied Physics*, vol. 86, no. 6, pp. 3036–3041, 1999. View at Google Scholar · View at Scopus - K. Held, V. Anisimov, V. Eyert et al., “LDA+DMFT investigations of transition metal oxides and f-electron materials,” in
*Advances in Solid State Physics*, vol. 43, pp. 267–286, Springer, Berlin, Germany, 2003. View at Google Scholar