complex polarizability
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2020 ◽  
Author(s):  
Maximilian Scheurer ◽  
Thomas Fransson ◽  
Patrick Norman ◽  
Andreas Dreuw ◽  
Dirk R. Rehn

<div><div><div><p>We present the derivation and implementation of complex, frequency-dependent polarizabilities for excited states using the algebraic-diagrammatic construction for the polarization propagator (ADC) and its intermediate state representation (ISR). Based on the complex polarizability we evaluate C<sub>6</sub> dispersion coefficients for excited states. The methodology is implemented up to third order in perturbation theory in the Python-driven adcc toolkit for the development and application of ADC methods. We exemplify the approach using small model systems and compare it to results from coupled-cluster theory and from experiments.</p></div></div></div>



2020 ◽  
Author(s):  
Maximilian Scheurer ◽  
Thomas Fransson ◽  
Patrick Norman ◽  
Andreas Dreuw ◽  
Dirk R. Rehn

<div><div><div><p>We present the derivation and implementation of complex, frequency-dependent polarizabilities for excited states using the algebraic-diagrammatic construction for the polarization propagator (ADC) and its intermediate state representation (ISR). Based on the complex polarizability we evaluate C<sub>6</sub> dispersion coefficients for excited states. The methodology is implemented up to third order in perturbation theory in the Python-driven adcc toolkit for the development and application of ADC methods. We exemplify the approach using small model systems and compare it to results from coupled-cluster theory and from experiments.</p></div></div></div>



2020 ◽  
Author(s):  
Maximilian Scheurer ◽  
Thomas Fransson ◽  
Patrick Norman ◽  
Andreas Dreuw ◽  
Dirk R. Rehn

<div><div><div><p>We present the derivation and implementation of complex, frequency-dependent polarizabilities for excited states using the algebraic-diagrammatic construction for the polarization propagator (ADC) and its intermediate state representation (ISR). Based on the complex polarizability we evaluate C<sub>6</sub> dispersion coefficients for excited states. The methodology is implemented up to third order in perturbation theory in the Python-driven adcc toolkit for the development and application of ADC methods. We exemplify the approach using small model systems and compare it to results from coupled-cluster theory and from experiments.</p></div></div></div>





2013 ◽  
Vol 15 (12) ◽  
pp. 4226 ◽  
Author(s):  
Francesco Masia ◽  
Wolfgang Langbein ◽  
Paola Borri




2009 ◽  
Vol 80 (15) ◽  
Author(s):  
M. Celebrano ◽  
M. Savoini ◽  
P. Biagioni ◽  
M. Zavelani-Rossi ◽  
P.-M. Adam ◽  
...  


1993 ◽  
Vol 18 (21) ◽  
pp. 1780 ◽  
Author(s):  
Ping Xia ◽  
J. M. C. Jonathan ◽  
J. P. Partanen ◽  
R. W. Hellwarth


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