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The Thermal Expansion of MgO using Computational Methods

Abstract

Calculations using the quasi harmonic approximation and molecular dynamics were used to investigate the thermal expansion of MgO. Calculations were carried out using GULP (General Utility Lattice Programme) on the visualisation package DLVisualize. The data obtained were used to plot the conventional cell lattice against temperature from which the thermal expansion coefficient of MgO was determined. The thermal expansion coefficient determined using the quasi harmonic approximation and MD calculations were 9.683521 x 10-6 K-1 and 10.230521 x 10-6 K-1 respectively, differing from the literature value of 12.11 x 10-6 K-1 by approximately 20 %, suggesting that both methods model the motion of the ions reasonably well.1

Introduction

The thermal expansion of materials describes how the system changes as the temperature changes. For a solid material, an increase in temperature results in an increase in the vibrational kinetic energy of the atoms and hence the volume. The coefficient of thermal expansion α describes how the volume of the system changes when the temperature of the system increases by 1 K and can be calculated using eq. 1,

                                                 α = ∆V/(Vi∆T)                                            eq. 1

where Vi is the initial volume and ∆V and ∆T are the change in volume and temperature respectively.

The thermal expansion of MgO, a face centred cubic lattice where the lattice parameters a, b and c are equal, was investigated using the quasi harmonic approximation (QHA) and molecular dynamics (MD).

Figure 1. a) The primitive cell of MgO used in QHA calculations; b) The conventional cell of MgO containing 4 Mg atoms and 4 O atoms; c) The supercell of MgO containing 32 MgO units that was used for MD calculations; The red and green atoms correspond to O and Mg respectively.

In the harmonic approximation, the equilibrium bond length for a diatomic remains the same with increasing temperature. QHA is different to the harmonic approximation in that it includes some anharmonicity and therefore the equilibrium position increases with temperature. The primitive cell of MgO, the smallest unit to describe the system, was used in the QHA calculations because periodic wavefunctions are studied (Figure 1a). The programme predicts the structure of MgO at different temperatures by finding the structure in which the Helmholtz free energy F is minimised. The Helmholtz free energy is given by,

                                     F = Eo + 1/2∑k,jħwk,j + KbT∑k,jln[1-e-ħwk,j/KbT]                            eq. 2

where Eo is the internal energy which includes the volume factor, the second term is the zero point energy and the last term is the entropic contribution.

The particle nature of vibrational modes is known as phonons. Phonons have a wavelength λ that is related to the wavevector k by,

                                                   λ = (2π)/k                                             eq. 3

Different values of k give rise to different frequencies of vibration w, and a plot of w against k is known as the phonon dispersion curve. The vibrational band structure observed in this plot is known as a branch and the number of branches observed in the plot is given by,

                                            Number of Branches = N x s                                    eq. 4

where N is the number of atoms in a unit cell and s is the dimension. For QHA, the programme computes the free energy by summing over the k-points or vibrational energy levels.

MD does not use the harmonic approximation but instead simulates the motion of the atoms at a particular temperature in accordance with Newton’s second law. Calculations are repeated and averages of properties such as energy and temperature are recorded when they start to settle. Rather than a primitive cell, a supercell consisting of 32 MgO units was used (Figure 1c). The primitive cell cannot be used because periodic wavefunctions are not studied; instead ions are studied. If a primitive cell was used then vibrations cannot be studied, as all the cells will be moving in phase.

Experimental

Single point GULP was executed on a primitive MgO cell from which a phonon dispersion curve was computed. Npoints was set to 50 under Phonon Dispersion and Calculate Phonon EIgenvectors was selected.

Single point GULP was executed on a primitive MgO cell using grid sizes 1x1x1, 2x2x2, 3x3x3, 4x4x4, 8x8x8, 16x16x16, 20x20x20, 25x25x25, 30x30x30 and 40x40x40 at a temperature of 300 K. A density of states plot was obtained for each grid size. A grid size of 20x20x20 was then used to execute optimisation GULP at 0 GPa at temperatures from 0 K to 1000 K in increments of 100 K, from 1300 K to 2700 K in increments of 300 K, and at 2900 K. Optimise Gibbs free energy was selected under Optimisation opts.

MD GULP was executed on a 32 unit MgO cell using ensemble NPT at temperatures 100 K, 300 K, 500 K, 800K, 1000 K, 1300 K, 1500 K, 1800 K, 2100 K, 2400 K, 2700 K and 2900 K at 0 GPa. Time step was set to 1 fs. Equilibration steps and production steps were set to 500 and sampling steps and trajectory write steps were set to 5.

For all calculations, ionic.lib was selected and Include Shells was not selected under General opts.

Results and Discussion

The Phonon Dispersion Curve and Density of States

The phonon dispersion curve shows six branches, as expected using eq. 4, where N and s are 2 and 3 respectively (Figure 2). There are three acoustic branches, one for each x y z direction in three dimensions. These branches correspond to the atoms vibrating in phase in the long wavelength limit (centre of Brillouin zone). The other three branches are optical branches, corresponding to adjacent atoms vibrating out of phase in the long wavelength limit.

Figure 2. The phonon dispersion curve of MgO. The three branches that go to 0 cm-1 at Г are the acoustic branches. The other three branches that do not go to 0 cm-1 at Г are the optical branches.

Density of states (DoS) plot shows the number of vibrational states at a particular frequency and was computed for ten grid sizes from 1x1x1 to 40x40x40. The larger the grid size, the more k-points are sampled in the reciprocal space to compute the DoS. For a 1x1x1 grid size, the DoS was computed for one k-point, in which four peaks are observed (Figure 3). L on the phonon dispersion curve is the k-point sampled for the 1x1x1 grid size, as the phonon dispersion curve shows that L has two degenerate bands at around 300 cm-1 and 350 cm-1, and two bands at around 700 cm-1 and 800 cm-1, which match those in the DoS (Figure 2 and 3). From the out file, the frequencies at a = 0.5, corresponding to point L, further confirm this, as it shows two degenerate frequencies and two non-degenerate frequencies (Figure 4).

Figure 3. The DoS of MgO for a 1x1x1 grid size. The DoS does not show a smooth curve but four distinct peaks. The two peaks at lower frequency are twice the height of the two peaks at higher frequency because they are degenerate. A larger grid size corresponding to the sampling of more k-points will be needed to compute a DoS with a smooth curve.
Figure 4. The out file for single point GULP using a 1x1x1 grid size. The L point shows two degenerate frequencies at 288.49 cm-1 and 351.76 cm-1, and two non-degenerate frequencies at 676.23 cm-1 and 818.82 cm-1.

Quasi Harmonic Approximation Calculations

For the QHA calculations on the MgO primitive cell, the optimal grid size was determined by observing how the Helmholtz free energy changes with grid size at 300 K (Table 1). A grid size of 3x3x3, 4x4x4 and 4x4x4 gave a free energy accurate to 1 meV, 0.5 meV and 0.1 meV respectively. The free energy converges to -40.926483 eV at a grid size of 20x20x20 and hence this grid size was used for the QHA calculations as a larger grid size would not give more accurate data and will also take longer to run. The DoS plots obtained using different grid sizes also reflects this; the plots change from distinct peaks to smoother curves as the grid size increases from 1x1x1 to 20x20x20, and little change is observed when the grid size increases from 20x20x20 to 40x40x40 (Figure 5).

Table 1. The change in Helmholtz free energy as the grid size increases. The free energy increases (becomes more positive) as the grid size increases from 1x1x1 to 3x3x3. When the grid size increases from 3x3x3 to 40x40x40, the free energy decreases and converges to a value of -40.926483 eV when the grid size is 20x20x20 and above.
Grid Size  Helmholtz Free Energy/ eV
1x1x1 -40.930301
2x2x2 -40.926609
3x3x3 -40.926432
4x4x4 -40.926450
8x8x8 -40.926478
16x16x16 -40.926480
20x20x20 -40.926483
25x25x25 -40.926483
30x30x30 -40.926483
40x40x40 -40.926483
Figure 5. DoS for grid sizes from 2x2x2 to 40x40x40. The larger the grid size, the more k-points are sampled over to compute the DoS, which gives a smoother plot. The grid size is shown in the top right corner of each plot.

The optimal grid size is dependent on the size of the unit, so the same grid size as for MgO would be suitable for a similar oxide such as CaO. However for a smaller unit such as a metal, a bigger grid size would be needed. The reciprocal lattice is the region where 0 ≥ k ≤ π/a, and the reciprocal lattice parameter a* is related to the lattice parameter a by,

                                                   a* = 2π/a                                             eq. 5

For a smaller unit, the lattice constant a is smaller and hence the reciprocal lattice parameter a* will increase. A larger number of k-points would therefore be required to compute an accurate free energy. The opposite is true for a larger unit hence a smaller grid size is suitable.

Using a grid size of 20x20x20, the Helmholtz free energies obtained from the QHA calculations from 0 K to 1000 K were plotted against temperature (Figure 6).

Figure 6. Graph of Helmholtz free energy against temperature using QHA. At low temperatures, the free energy is independent of temperature. At high temperatures, the free energy decreases as temperature increases.

At temperatures below 200 K, the graph plateaus. This is because at low temperatures the entropy is close to zero. Furthermore the internal energy does not increase much with temperature and the zero point energy is constant, meaning that the free energy does not increase much as the temperature increases. At high temperatures there is a significant contribution to the free energy from the entropy due to increased vibration of the ions, and the free energy decreases (becomes more negative) as entropy increases with temperature. The same is reflected in the plots of conventional lattice constant and conventional cell volume against temperature (Figure 7 and 8). The conventional lattice constant ac and the conventional cell volume Vc were obtained from the primitive lattice constant ap and the primitive cell volume Vp using eq. 6 and eq. 7 respectively.

                                                  ac = (2ap)/21/2                                          eq. 6 
                                                     Vc = 4Vp                                             eq. 7 
Figure 7. Graph of conventional lattice constant against temperature using QHA. The lattice constant remains almost constant at low temperatures but increases at high temperatures due to greater vibration of the ions.
Table 2. The change in primitive cell volume as temperature increases from 0 K to 1000 K. The primitive cell volume was converted to the conventional cell volume using eq. 7.
Temperature/ K  Primitive Cell Volume/ Å3 Conventional Cell Volume/ Å3
0 18.836496 75.345984
100 18.836494 75.345976
200 18.856202 75.424808
300 18.890025 75.560100
400 18.932508 75.730030
500 18.980112 75.920448
600 19.031223 76.124892
700 19.085059 76.340236
800 19.141318 76.565272
900 19.199640 76.798560
1000 19.260044 77.040176
Figure 8. Graph of conventional cell volume against temperature using QHA. The cell volume remains almost constant at low temperatures but increases at high temperatures due to increased vibration of the ions. A trendline was drawn for the linear region from 400 K to 1000 K (y = 0.0022x + 74.8).

From the linear region of the plot of conventional cell volume against temperature, the volumetric thermal expansion coefficient was calculated to be 29.050562 x 10-6 K-1 using eq. 1, where Vi, the initial volume, is taken to be 75.730030 Å3 (Table 2; Figure 8). This is divided by 3 to give the linear thermal expansion coefficient value of 9.683521 x 10-6 K-1. This differs from the literature value of 12.11 x 10-6 K-1 measured at 400 K by 20.0 %, suggesting that the QHA calculation is reasonably reliable.1

Molecular Dynamics Simulation

MD simulations were carried out at temperatures from 100 K to 2900 K using a supercell consisting of 32 MgO units. Although a 32 MgO unit cell was used, the optimal cell size can be decided by running calculations at increasing cell size until the total energy converges. The cell size at which the energy converges would be suitable to use to obtain reliable results. A cell size of 32 was used to compromise between obtaining reliable results and running reasonable time calculations.

Table 3. The change in supercell volume with temperatures from 100 K to 2900 K. The supercell volume was converted to the conventional cell volume using eq. 8.
Temperature/ K  Supercell Volume/ Å3 Conventional Cell Volume/ Å3
100 599.513295 74.939162
300 602.899441 75.362430
500 606.322864 75.790358
800 612.102518 76.512815
1000 615.635320 76.954415
1300 621.486358 77.685795
1500 625.156025 78.144503
1800 629.245026 78.655628
2100 634.020778 79.252597
2400 644.233446 80.529181
2700 647.949319 80.993665
2900 650.763352 81.345419
Figure 9. Graph of conventional cell volume against temperature using MD. There is a linear relationship between the cell volume and temperature from 100 K to 1500 K. Above 1500 K, the cell volume increases away from linearity. A trendline was drawn for the linear region from 100 K to 1500K (y = 0.0023x + 74.7).

The supercell volumes obtained from the MD calculations were converted to the conventional cell volumes using eq. 8 and were plotted against temperature (Table 3; Figure 9). Using this plot, the volumetric thermal expansion coefficient was calculated to be 30.691563 x 10-6 K-1 using eq. 1, where Vi is taken to be 74.939162 Å3. This value was converted to the linear thermal expansion coefficient to give 10.230521 x 10-6 K-1. This value differs from the literature value of 12.11 x 10-6 K-1, measured at 400 K, by 15.5 %, suggesting that the calculation is reasonably reliable.1

                                                 Vc = Vsupercell/8                                          eq. 8 

Comparison between QHA and MD

Figure 10. Graph of conventional cell volume against temperature using QHA and MD. The blue diamonds and orange crosses represent points from MD and QHA calculations respectively.

At temperatures between 400K and 1500 K, both QHA and MD calculations produce similar results with a linear relationship between the conventional cell volume and temperature (Figure 10). At low temperatures experimental results show that the cell volume is independent of the temperature.2 This is shown in the plot of cell volume against temperature using QHA but the same plot using MD shows a linear relationship in this region. This is because MD does not take into account quantum effects that are especially significant at low temperatures.2

At high temperatures, MD fits the experimental data more than QHA as quantum effects become less significant and anharmonicity becomes more important.2 Near the melting point of MgO (3250 K) it is expected that some bonds will break and the cell volume will start to increase much more as the ions vibrate more.3 The cell volume should therefore increase away from linearity near the melting point and this is observed in the plot using MD. The cell volume also increases away from linearity in the plot with QHA, but it starts to increase away from linearity much earlier at 1800 K, 1450 K below the melting point of MgO. The increase in cell volume above 1800 K is also much larger with QHA compared to that with MD. Although QHA includes some anharmonicity, it does not predict the breaking of bonds. Therefore it does not represent the actual motion of ions well at high temperatures. With MD, charged ions are studied and the distance between the ions are not restricted like in QHA.

There is not a large difference between the linear thermal expansion coefficients obtained using MD and QHA. However the MD value is slightly closer to the literature value. The thermal expansion coefficient is obtained from the gradient of the linear region, and this linear region is at higher temperatures where the anharmonicity becomes more important and quantum effects become less significant.2 Hence MD models the ions better in this region and gives a value closer to the literature value.

Conclusion

The linear thermal expansion coefficient of MgO obtained using QHA and MD are 9.683521 x 10-6 K-1 and 10.230521 x 10-6 K-1 respectively. These values differ from the literature value of by 20.0 % and 15.5 % respectively, suggesting that both methods model the actual motion of the ions reasonably well. Both anharmonicity and quantum effects are important in modelling the motion of the ions, but MD does not take into account quantum effects and QHA only includes some anharmonicity.2 This can explain the difference between the literature value and the thermal expansion coefficients obtained. The value obtained using MD is slightly closer to the literature value compared to the value obtained using QHA. This is because the thermal expansion coefficient was obtained from the gradient of the conventional cell volume against temperature plot at higher temperatures, and in this region MD models the ions better than QHA.

References

1. A. S. Madhusudhan Rao, K. Narender, J. Chem. Thermodyn., 2014, 2014, 1-8.

2. R. G. Della Valle, E. Venuti, Phys. Rev. B, 1998, 58, 206-212.

3. C. Ronchi, M. Sheindlin, J. Appl. Phys., 2001, 90, 3325-3331.