2005
DOI: 10.1016/s1380-7323(05)80020-2
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Density Functional Methods for Excited States: Equilibrium Structure and Electronic Spectra

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Cited by 261 publications
(253 citation statements)
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References 355 publications
(268 reference statements)
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“…The use of solvent in the calculation of the excited states is needed in depicting the real environment of the analogues which can give a much better agreement with the experimental values; on the other hand, calculating the analogues in the gas phase, could give reversed oscillator strengths on its transition energies giving an error in its simulated spectra as observed with some porphyrins with fused benzoheterocycles. 55 This also confirms the statement of Furche and Rapport 56 that the use of 6-31G* as the basis set to calculate excitation energies is sufficient for planar systems. This greatly decreases the computational time compared with using the more expensive triple-or quadruple-z basis sets.…”
Section: Resultssupporting
confidence: 74%
“…The use of solvent in the calculation of the excited states is needed in depicting the real environment of the analogues which can give a much better agreement with the experimental values; on the other hand, calculating the analogues in the gas phase, could give reversed oscillator strengths on its transition energies giving an error in its simulated spectra as observed with some porphyrins with fused benzoheterocycles. 55 This also confirms the statement of Furche and Rapport 56 that the use of 6-31G* as the basis set to calculate excitation energies is sufficient for planar systems. This greatly decreases the computational time compared with using the more expensive triple-or quadruple-z basis sets.…”
Section: Resultssupporting
confidence: 74%
“…The popular linear-response time-dependent DFT (TDDFT) method provides accurate excitation energies at a much lower cost than ab initio correlation calculations. [11][12][13] However, a number of problematic cases exists, where today's functionals are not able to provide accurate excitation energies. 2,5,[14][15][16][17][18] Thus, alternative methods to assess the accuracy of the TDDFT calculations on large molecules are needed.…”
Section: Introductionmentioning
confidence: 99%
“…Analytical gradient techniques make computation of geometric derivatives particularly efficient in the framework of time-dependent density functional theory (TDDFT). 32 In addition, the sum-over-states approach may be used to identify major contributions to resonance Raman intensities. We apply the present approach to assign and interpret resonance Raman scattering in nucleic acid bases.…”
mentioning
confidence: 99%
“…In this limit, the shape of the resonance Raman spectrum reflects the structure of the potential energy surface of the excited state k. Since the A term is quadratic in the resonance Analytical derivative techniques allow to compute excitation energy gradients and non-resonant polarizability derivatives in an efficient fashion using TDDFT. 32,36 In this work, derivatives of transition dipole moments are computed by numerical differentiation. However, an analytical implementation is possible starting from a Lagrangian formulation, 37 similar to that for gradients of excitation energies 38,39 and frequency-dependent polarizabilities.…”
mentioning
confidence: 99%
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