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Time-dependent density-functional theory (TDDFT) extends [[density-functional theory]] to time-varying external potentials, enabling the computation of neutral electronic excitations and frequency-dependent response functions. VASP implements TDDFT in two complementary forms: a Casida-equation formulation based on the diagonalization of an excitonic Hamiltonian, and a real-time (RT-TDDFT) formulation based on the propagation of the Kohn-Sham orbitals after a delta-pulse perturbation. The detailed theoretical background is given in the [[Time-dependent density-functional theory|theory page]].
Time-dependent density-functional theory (TDDFT) extends [[density-functional theory]] to time-varying external potentials, enabling the computation of neutral electronic excitations and frequency-dependent response functions. VASP implements TDDFT in two complementary forms: a Casida-equation formulation based on the diagonalization of an excitonic Hamiltonian, and a real-time (RT-TDDFT) formulation based on the propagation of the Kohn-Sham orbitals after a delta-pulse perturbation. The detailed theoretical background is given in the [[Time-dependent density-functional theory|theory page]].


== Theory ==
== Casida TDDFT ==


The Casida formulation of TDDFT recasts the linear-response problem as a non-Hermitian eigenvalue problem
The Casida formulation of TDDFT recasts the linear-response problem as a non-Hermitian eigenvalue problem
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with the same mathematical structure as the [[Bethe-Salpeter equation]] (BSE). The eigenvalues <math>\omega_\lambda</math> are the excitation energies, and the eigenvectors <math>\mathbf{X}_\lambda, \mathbf{Y}_\lambda</math> determine the oscillator strengths and the dielectric function with excitonic effects. The difference with respect to BSE is that the beyond-RPA part of the kernel is described by the exchange-correlation kernel <math>f_\mathrm{xc}</math> instead of the screened Coulomb interaction <math>W</math>.
with the same mathematical structure as the [[Bethe-Salpeter equation]] (BSE). The eigenvalues <math>\omega_\lambda</math> are the excitation energies, and the eigenvectors <math>\mathbf{X}_\lambda, \mathbf{Y}_\lambda</math> determine the oscillator strengths and the dielectric function with excitonic effects. The difference with respect to BSE is that the beyond-RPA part of the kernel is described by the exchange-correlation kernel <math>f_\mathrm{xc}</math> instead of the screened Coulomb interaction <math>W</math>.


== Scaling ==
The Casida equation is solved in VASP by setting {{TAG|ALGO}}{{=}}TDHF. The excitation energies and oscillator strengths are obtained directly from the eigenvalues and eigenvectors of the excitonic Hamiltonian, which makes this approach particularly useful for analyzing individual excitons. Casida TDDFT can be performed using DFT or [[hybrid functional|hybrid-functional]] orbitals and eigenvalues. Using the eigenvalues <math>\omega_\lambda</math> and eigenvectors <math>X_\lambda</math>, the macroscopic dielectric function is obtained as
 
The size of the excitonic Hamiltonian is
::<math>N_{\rm rank} = N_k \times N_c \times N_v,</math>
where <math>N_k</math>, <math>N_c</math>, and <math>N_v</math> are the number of '''k''' points, conduction bands, and valence bands. Building the Hamiltonian scales as <math>N^4</math>--<math>N^5</math> with the system size. Solving the resulting eigenvalue problem by exact diagonalization scales as <math>N_{\rm rank}^3</math>, or as <math>N^6</math> with the system size. The real-time propagation alternative avoids diagonalization entirely and scales as <math>N_{\rm rank}^2</math>, or as <math>N^4</math> with the system size, making it the method of choice for large systems with many bands or '''k''' points.
 
{| class="wikitable"
|-
! !! Time evolution !! Casida
|-
| Memory || <math>N_{\mathbf{k}} \times (N_v + N_c) \times N_G</math> || <math>(N_{\mathbf{k}} \times N_v \times N_c)^2</math>
|-
| Compute time || <math>N_{\mathbf{k}} \times N_v \times N_G</math> || <math>(N_{\mathbf{k}} \times N_v \times N_c)^3</math>
|-
| || <math>+ N_{\mathbf{k}} \times N_v \times N_c \times N_G</math> ||
|-
| Nonlocal exchange || <math>+ N_{\mathbf{k}}^2 \times N_v^2 \times N_G</math> || ⋯
|}
 
== Casida TDDFT ==
 
The Casida equation is solved in VASP by setting {{TAG|ALGO}}{{=}}TDHF. The excitation energies and oscillator strengths are obtained directly from the eigenvalues and eigenvectors of the excitonic Hamiltonian, which makes this approach particularly useful for analyzing individual excitons. Casida TDDFT can be performed using DFT or [[hybrid functional|hybrid-functional]] orbitals and eigenvalues. The macroscopic dielectric function then reads
::<math>
::<math>
\epsilon_M(\mathbf q, \omega) = 1 + 2 \lim_{\mathbf q \to 0} v(\mathbf q) \sum_\lambda \left| \sum_{c v \mathbf k} \langle c \mathbf k | e^{\mathrm i \mathbf{qr}} | v \mathbf k\rangle X_\lambda^{c v \mathbf k}\right|^2 \left(\frac{1}{\omega_\lambda - \omega - \mathrm i \delta}\right).
\epsilon_M(\mathbf{q},\omega)=
1+2\lim_{\mathbf{q}\rightarrow 0}v(q)\sum_{\lambda}
\left|\sum_{c,v,\mathbf k}\langle c\mathbf{k}|e^{\mathrm i\mathbf{qr}}|v\mathbf{k}\rangle X_\lambda^{cv\mathbf{k}}\right|^2
\left(\frac{1}{\omega_\lambda - \omega - \mathrm i\delta}\right).
</math>
</math>


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== Time-evolution TDDFT (Real-time TDDFT) ==
== Time-evolution TDDFT (Real-time TDDFT) ==


Real-time TDDFT (RT-TDDFT) is selected with {{TAG|ALGO}}{{=}}TIMEEV. The ground-state Kohn-Sham orbitals are perturbed by a Dirac delta pulse of the electric field
Real-time TDDFT (RT-TDDFT) is selected with {{TAG|ALGO}}{{=}}TIMEEV. The ground-state Kohn-Sham orbitals are perturbed by a Dirac delta pulse of the electric field, which simultaneously excites all valence-to-conduction transitions. The time-dependent dipole moments are then propagated and the dielectric function is found via a Fourier transform{{cite|sander:jcp:2017}}
::<math>
::<math>
v_\mathrm{ext}(\mathbf r, t) = \lambda \, \mathbf r \cdot \mathbf D \, \delta(t),
\epsilon_M(\omega)=1-\frac{4\pi}{\Omega}\int_0^{\infty} \mathrm{d} t
\sum_{c,v,\mathbf{k}}\left(\langle\mu_{cv\mathbf{k}}| \xi_{cv\mathbf{k}}(t)\rangle + \mathrm{c.c.}\right) e^{-\mathrm i(\omega-\mathrm i \delta) t},
</math>
</math>
which simultaneously excites all valence-to-conduction transitions. The time-dependent dipole moments are then propagated and Fourier-transformed to yield the macroscopic dielectric function{{cite|sander:jcp:2017}}
where <math>\mu_{cv\mathbf k}</math> are the dipole moments and <math>|\xi_{cv\mathbf k}(t)\rangle</math> is the time-evolved dipole vector. The solution is strictly equivalent to that of the Casida equation for the dielectric function, but does not yield eigenvectors and so cannot be used directly for exciton analysis. Its main advantage is the quadratic scaling with <math>N_{\rm rank}</math>.
::<math>
\epsilon_M(\omega)=1-\frac{4\pi}{\Omega}\int_0^{\infty} \mathrm{d} t \sum_{c,v,\mathbf{k}}\left(\langle\mu_{cv\mathbf{k}}| \xi_{cv\mathbf{k}}(t)\rangle + \mathrm{c.c.}\right) e^{-\mathrm i(\omega-\mathrm i \delta) t},
</math>
where <math>\mu_{c v \mathbf k}</math> are the dipole moments and <math>|\xi_{cv\mathbf k}(t)\rangle</math> is the time-evolved dipole vector. The solution is strictly equivalent to that of the Casida equation for the dielectric function, but does not yield eigenvectors and so cannot be used directly for exciton analysis. Its main advantage is the quadratic scaling with <math>N_{\rm rank}</math>.


The required number of propagation steps is controlled by the broadening {{TAG|CSHIFT}} and the maximum energy {{TAG|OMEGAMAX}}, and does not depend on the size of the Hamiltonian.
The required number of propagation steps is controlled by the broadening {{TAG|CSHIFT}} and the maximum energy {{TAG|OMEGAMAX}}, and does not depend on the size of the Hamiltonian.
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* Calculations with local kernels, [[hybrid functional|hybrid functionals]], and range-separated hybrids
* Calculations with local kernels, [[hybrid functional|hybrid functionals]], and range-separated hybrids
* [[Improving the dielectric function#Model-BSE|Model-screened ladder diagrams]] via {{TAG|LADDER}}
* [[Improving the dielectric function#Model-BSE|Model-screened ladder diagrams]] via {{TAG|LADDER}}
== Scaling ==
The size of the excitonic Hamiltonian is
::<math>N_{\rm rank} = N_k \times N_c \times N_v,</math>
where <math>N_k</math>, <math>N_c</math>, and <math>N_v</math> are the number of '''k''' points, conduction bands, and valence bands. Building the Hamiltonian scales as <math>N^4</math>--<math>N^5</math> with the system size. Solving the resulting eigenvalue problem by exact diagonalization scales as <math>N_{\rm rank}^3</math>, or as <math>N^6</math> with the system size. The real-time propagation alternative avoids diagonalization entirely and scales as <math>N_{\rm rank}^2</math>, or as <math>N^4</math> with the system size, making it the method of choice for large systems with many bands or '''k''' points.
{| class="wikitable"
|-
! !! Time evolution !! Casida
|-
| Memory || <math>N_{\mathbf{k}} \times (N_v + N_c) \times N_G</math> || <math>(N_{\mathbf{k}} \times N_v \times N_c)^2</math>
|-
| Compute time || <math>N_{\mathbf{k}} \times N_v \times N_G</math> || <math>(N_{\mathbf{k}} \times N_v \times N_c)^3</math>
|-
| || <math>+ N_{\mathbf{k}} \times N_v \times N_c \times N_G</math> ||
|-
| Nonlocal exchange || <math>+ N_{\mathbf{k}}^2 \times N_v^2 \times N_G</math> || ⋯
|}


== Exchange-correlation kernel ==
== Exchange-correlation kernel ==

Revision as of 08:49, 11 June 2026

Time-dependent density-functional theory (TDDFT) extends density-functional theory to time-varying external potentials, enabling the computation of neutral electronic excitations and frequency-dependent response functions. VASP implements TDDFT in two complementary forms: a Casida-equation formulation based on the diagonalization of an excitonic Hamiltonian, and a real-time (RT-TDDFT) formulation based on the propagation of the Kohn-Sham orbitals after a delta-pulse perturbation. The detailed theoretical background is given in the theory page.

Casida TDDFT

The Casida formulation of TDDFT recasts the linear-response problem as a non-Hermitian eigenvalue problem

[math]\displaystyle{ \left(\begin{array}{cc} \mathbf{A} & \mathbf{B} \\ \mathbf{B}^* & \mathbf{A}^* \end{array}\right)\left(\begin{array}{l} \mathbf{X}_\lambda \\ \mathbf{Y}_\lambda \end{array}\right)=\omega_\lambda\left(\begin{array}{cc} \mathbf{1} & \mathbf{0} \\ \mathbf{0} & -\mathbf{1} \end{array}\right)\left(\begin{array}{l} \mathbf{X}_\lambda \\ \mathbf{Y}_\lambda \end{array}\right), }[/math]

with the same mathematical structure as the Bethe-Salpeter equation (BSE). The eigenvalues [math]\displaystyle{ \omega_\lambda }[/math] are the excitation energies, and the eigenvectors [math]\displaystyle{ \mathbf{X}_\lambda, \mathbf{Y}_\lambda }[/math] determine the oscillator strengths and the dielectric function with excitonic effects. The difference with respect to BSE is that the beyond-RPA part of the kernel is described by the exchange-correlation kernel [math]\displaystyle{ f_\mathrm{xc} }[/math] instead of the screened Coulomb interaction [math]\displaystyle{ W }[/math].

The Casida equation is solved in VASP by setting ALGO=TDHF. The excitation energies and oscillator strengths are obtained directly from the eigenvalues and eigenvectors of the excitonic Hamiltonian, which makes this approach particularly useful for analyzing individual excitons. Casida TDDFT can be performed using DFT or hybrid-functional orbitals and eigenvalues. Using the eigenvalues [math]\displaystyle{ \omega_\lambda }[/math] and eigenvectors [math]\displaystyle{ X_\lambda }[/math], the macroscopic dielectric function is obtained as

[math]\displaystyle{ \epsilon_M(\mathbf{q},\omega)= 1+2\lim_{\mathbf{q}\rightarrow 0}v(q)\sum_{\lambda} \left|\sum_{c,v,\mathbf k}\langle c\mathbf{k}|e^{\mathrm i\mathbf{qr}}|v\mathbf{k}\rangle X_\lambda^{cv\mathbf{k}}\right|^2 \left(\frac{1}{\omega_\lambda - \omega - \mathrm i\delta}\right). }[/math]

The following features are currently supported:

Time-evolution TDDFT (Real-time TDDFT)

Real-time TDDFT (RT-TDDFT) is selected with ALGO=TIMEEV. The ground-state Kohn-Sham orbitals are perturbed by a Dirac delta pulse of the electric field, which simultaneously excites all valence-to-conduction transitions. The time-dependent dipole moments are then propagated and the dielectric function is found via a Fourier transform[1]

[math]\displaystyle{ \epsilon_M(\omega)=1-\frac{4\pi}{\Omega}\int_0^{\infty} \mathrm{d} t \sum_{c,v,\mathbf{k}}\left(\langle\mu_{cv\mathbf{k}}| \xi_{cv\mathbf{k}}(t)\rangle + \mathrm{c.c.}\right) e^{-\mathrm i(\omega-\mathrm i \delta) t}, }[/math]

where [math]\displaystyle{ \mu_{cv\mathbf k} }[/math] are the dipole moments and [math]\displaystyle{ |\xi_{cv\mathbf k}(t)\rangle }[/math] is the time-evolved dipole vector. The solution is strictly equivalent to that of the Casida equation for the dielectric function, but does not yield eigenvectors and so cannot be used directly for exciton analysis. Its main advantage is the quadratic scaling with [math]\displaystyle{ N_{\rm rank} }[/math].

The required number of propagation steps is controlled by the broadening CSHIFT and the maximum energy OMEGAMAX, and does not depend on the size of the Hamiltonian.

The following features are currently supported:

Scaling

The size of the excitonic Hamiltonian is

[math]\displaystyle{ N_{\rm rank} = N_k \times N_c \times N_v, }[/math]

where [math]\displaystyle{ N_k }[/math], [math]\displaystyle{ N_c }[/math], and [math]\displaystyle{ N_v }[/math] are the number of k points, conduction bands, and valence bands. Building the Hamiltonian scales as [math]\displaystyle{ N^4 }[/math]--[math]\displaystyle{ N^5 }[/math] with the system size. Solving the resulting eigenvalue problem by exact diagonalization scales as [math]\displaystyle{ N_{\rm rank}^3 }[/math], or as [math]\displaystyle{ N^6 }[/math] with the system size. The real-time propagation alternative avoids diagonalization entirely and scales as [math]\displaystyle{ N_{\rm rank}^2 }[/math], or as [math]\displaystyle{ N^4 }[/math] with the system size, making it the method of choice for large systems with many bands or k points.

Time evolution Casida
Memory [math]\displaystyle{ N_{\mathbf{k}} \times (N_v + N_c) \times N_G }[/math] [math]\displaystyle{ (N_{\mathbf{k}} \times N_v \times N_c)^2 }[/math]
Compute time [math]\displaystyle{ N_{\mathbf{k}} \times N_v \times N_G }[/math] [math]\displaystyle{ (N_{\mathbf{k}} \times N_v \times N_c)^3 }[/math]
[math]\displaystyle{ + N_{\mathbf{k}} \times N_v \times N_c \times N_G }[/math]
Nonlocal exchange [math]\displaystyle{ + N_{\mathbf{k}}^2 \times N_v^2 \times N_G }[/math] ⋯

Exchange-correlation kernel

The exchange-correlation kernel [math]\displaystyle{ f_\mathrm{xc} }[/math] determines how electron-hole interactions beyond the random phase approximation are described in TDDFT. The choice of kernel is tied to the exchange-correlation functional used in the ground-state calculation and is controlled by the tags LHARTREE, LADDER, and LFXC.

  • Local and semilocal kernels (ALDA, APBE): obtained as the second functional derivative of an LDA or PBE exchange-correlation energy. These kernels are computationally cheap and work well for plasmons and metallic systems, but lack the long-range [math]\displaystyle{ -1/q^2 }[/math] behavior and therefore fail to describe bound excitons in semiconductors and insulators.
  • Hybrid-functional kernels: when a fraction of exact exchange is included in the ground-state functional (e.g., PBE0 or HSE), the corresponding TDDFT kernel inherits a long-range non-local exchange contribution. This restores the [math]\displaystyle{ -1/q^2 }[/math] behavior and allows for an approximate description of excitonic effects. The fraction of exact exchange is controlled by AEXX, and the range-separation parameter by HFSCREEN. When a hybrid functional is used, LADDER must be set to .TRUE. so that the non-local exchange contribution of the kernel (the ladder diagrams) is actually included in the time propagation; otherwise the calculation only contains the local part of [math]\displaystyle{ f_\mathrm{xc} }[/math] and the excitonic effects from the hybrid are lost.
  • Screened exchange (ladder diagrams): enabling LADDER adds the screened Coulomb interaction [math]\displaystyle{ W }[/math], yielding the proper long-range electron-hole attraction. In the time-evolution implementation, [math]\displaystyle{ W }[/math] is currently obtained from a model dielectric function controlled by LMODELHF, AEXX, and HFSCREEN.

The combination of these three switches selects the approximation level: setting all three to .FALSE. yields the independent-particle approximation (equivalent to LOPTICS); enabling only LHARTREE gives the RPA; further enabling LFXC or LADDER adds the beyond-RPA contributions.

Additional resources

Lectures

Tutorials

How to

References

  1. ↑ T. Sander, G. Kresse, Macroscopic dielectric function within time-dependent density functional theory—Real time evolution versus the Casida approach , J. Chem. Phys. 146, 064110 (2017)

Pages in category "Time-dependent density functional theory"

The following 3 pages are in this category, out of 3 total.

T

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