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How phonon dispersion and phonon band structures are calculated/visualized on the Materials Project (MP) website. |
A phonon is a collective excitation of a set of atoms in condensed matter. These excitations can be decomposed into different modes, each being associated with an energy that corresponds to the frequency of the vibration. The different energies associated with each vibrational mode constitute the phonon vibrational spectra (or phonon band structure). The vibrational spectra of materials play an important role in physical phenomena such as thermal conductivity, superconductivity, ferroelectricity and carrier thermalization.
There are different methods to calculate the vibrational spectra from first-principles using the density functional theory formalism (DFT). It can be obtained from the Fourier transform of the trajectories of the atoms on a molecular dynamics run, from finite-differences of the total energy with respect to atomic displacements or directly from density functional perturbation theory (DFPT). The latter method is the one used in the calculations on the Materials project page.
In the density functional perturbation theory formalism the derivatives of the total energy with respect to a perturbation are directly obtained from the self-consistency loop [1] For a generic point q in the Brillouin zone the phonon frequencies
$$ \sum_{\kappa'\beta}\widetilde{C}{\kappa\alpha,\kappa'\beta}(\mathbf{q})U_m(\mathbf{q}\kappa'\beta) = M{\kappa}\omega^2_{\mathbf{q},m}U_m(\mathbf{q}\kappa\alpha) $$
where
The vibrational density of states
where
where
All the DFT and DFPT calculations are performed with the ABINIT software package [3,4].
The PBEsol [5] semilocal generalized gradient approximation exchange-correlation functional (XC) is used for the calculations. This functional is proven to provide accurate phonon frequencies compared to experimental data [6]. The pseudopotentials are norm-conserving [7] and taken from the pseudopotentials table Pseudo-dojo version 0.3 [8].
The plane wave cutoff is chosen based on the hardest element for each compound, according to the values suggested in the Pseudo-dojo table. The Brillouin zone is sampled using equivalent k-point and q-point grids that respect the symmetries of the crystal with a density of approximately 1500 points per reciprocal atom and the q-point grid is always
All the structures are relaxed with strict convergence criteria, i.e. until all the forces on the atoms are below
The primitive cells and the band structures are defined according to the conventions of Setyawan and Curtarolo [10].
Guido Petretto, Shyam Dwaraknath, Henrique P. C. Miranda, Donald Winston, Matteo Giantomassi, Michiel J. van Setten, Xavier Gonze, Kristin A. Persson, Geoffroy Hautier, Gian-Marco Rignanese, High-throughput density functional perturbation theory phonons for inorganic materials, Scientific Data, 5, 180065 (2018). doi:10.1038/sdata.2018.65
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[3]: Gonze, X. et al. First-principles computation of material properties: the Abinit software project. Computational Materials Science 25, 478 – 492 (2002)
[4]: Gonze, X. et al. ABINIT: First-principles approach to material and nanosystem properties. Computer Physics Communications 180, 2582 – 2615 (2009)
[5]: Perdew, J. P. et al. Restoring the density-gradient expansion for exchange in solids and surfaces. Phys. Rev. Lett. 100, 136406 (2008)
[6]: He, L. et al. Accuracy of generalized gradient approximation functionals for density-functional perturbation theory calculations. Phys. Rev. B 89, 064305 (2014)
[7]: Hamann, D. R. Optimized norm-conserving Vanderbilt pseudopotentials. Phys. Rev. B 88, 085117 (2013)
[8]: van Setten, M., Giantomassi, M., Bousquet, E., Verstraete, M.J., Hamann, D.R., Gonze, X. & Rignanese, G.-M., et al. The PseudoDojo: Training and grading a 85 element optimized norm-conserving pseudopotential table (2018). Computer Physics Communications 226, 39.
[9]: Petretto, G., Gonze, X., Hautier, G. & Rignanese, G.-M. Convergence and pitfalls of density functional perturbation theory phonons calculations from a high-throughput perspective. Computational Materials Science 144, 331 – 337 (2018)
[10]: Setyawan, W. & Curtarolo, S. High-throughput electronic band structure calculations: Challenges and tools. Computational Materials Science 49, 299 – 312 (2010)