2010
DOI: 10.1063/1.3457362
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Basis set effects on the hyperpolarizability of CHCl3: Gaussian-type orbitals, numerical basis sets and real-space grids

Abstract: Calculations of the hyperpolarizability are typically much more difficult to converge with basis set size than the linear polarizability. In order to understand these convergence issues and hence obtain accurate ab initio values, we compare calculations of the static hyperpolarizability of the gas-phase chloroform molecule (CHCl 3 ) using three different kinds of basis sets: Gaussian-type orbitals, numerical basis sets, and real-space grids. Although all of these methods can yield similar results, surprisingly… Show more

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Cited by 48 publications
(45 citation statements)
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“…Such methods are advantageous for density response, as they are often semiquantitative, yet require little computational effort beyond ground state DFT. RT-TDDFT has been successfully applied both to linear and non-linear optical response [26][27][28][29] as well as core level x-ray absorption spectra ignoring satellites [30]. However, to our knowledge, neither its application to the cumulant method nor to CT excitations has previously been carried out.…”
Section: Fig 1: (Color Online)mentioning
confidence: 99%
“…Such methods are advantageous for density response, as they are often semiquantitative, yet require little computational effort beyond ground state DFT. RT-TDDFT has been successfully applied both to linear and non-linear optical response [26][27][28][29] as well as core level x-ray absorption spectra ignoring satellites [30]. However, to our knowledge, neither its application to the cumulant method nor to CT excitations has previously been carried out.…”
Section: Fig 1: (Color Online)mentioning
confidence: 99%
“…It can perform Ehrenfest-TDDFT non-adiabatic molecular dynamics [14,31] and adiabatic molecular dynamics based on the modified Ehrenfest scheme [32,33], which inherits the scalability properties of real-time TDDFT, or the standard Born-Oppenheimer and Car-Parrinello [34] schemes. Different response properties in TDDFT [35] can also be obtained using linearresponse formalisms like Casida [36], or the density-functional perturbation theory/Sternheimer approach [37][38][39][40][41][42][43]. Octopus can also do quantum optimal-control calculations [44][45][46] and realtime quantum transport calculations [47].…”
Section: Octopus Features 21 Theorymentioning
confidence: 99%
“…Its variables are represented on grids in real space b (not using a basis of given functions), which feature allows for systematic control of the discretisation error, of particular importance for excited-state properties. 77 Furthermore, OCTOPUS uses a multi-level parallelisation scheme where the data is distributed following a tree-based approach. This scheme uses the message passing interface (MPI) library and was shown to be quite efficient in modern parallel computers.…”
Section: Methodsmentioning
confidence: 99%