2023
DOI: 10.1063/5.0167522
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Circularly polarized attosecond light generation from OCS molecules irradiated by the combination of linear polarized infrared and orthogonal terahertz fields

Ting-Ting Fu,
Fu-Ming Guo,
Shu-Shan Zhou
et al.

Abstract: Researching ultrafast dynamics and creating coherent light sources will both benefit significantly from the establishment of polarization control in high-order harmonic generation (HHG). By employing the time-dependent density functional theory method, we investigate HHG of carbonyl sulfide molecules using a combination of a linear polarized infrared (IR) laser and a weaker orthogonal Terahertz (THz) field. Our findings show that by adjusting the amplitude of the THz field, the movement scale of electrons in t… Show more

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“…Moreover, recent advancements in representing external electromagnetic fields, such as recasting Maxwell’s equations in the Schrödinger formalism, , allow for effective and accurate description of light–matter interactions. Thanks to these advantages, grid-based RT-TDDFT finds widespread application in modeling linear and nonlinear optical responses in a broad spectrum of systems, from single atoms, ,,, through clusters ,, and molecules, ,,, to nanostructures and solid-state materials. ,,, However, it also has its limitations. For instance, it incorrectly describes single-electron excitations and Rabi oscillations in closed-shell systems , and suffers from the nonlinearity of the time-evolution equations. Additionally, its significant computational complexity typically restricts the treatment of larger systems at the all-electron level, necessitating the replacement of core electrons with pseudopotentials. ,,, Even with this workaround, the computational cost of RT-TDDFT greatly exceeds that of RT-TDCIS, a drawback shared with more sophisticated multideterminant methods such as real-time time-dependent coupled cluster, ,, RT-TDCISD, ,,,, and RT-TDCIS­(D). ,, An alternative approach to RT-TDDFT, proposed by Pauletti et al and also utilized in this work, is to add the exchange–correlation potential directly to the RT-TDCIS Hamiltonian, effectively turning it into the real-time time-dependent counterpart of the Tamm–Dancoff approximation (TDA).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Moreover, recent advancements in representing external electromagnetic fields, such as recasting Maxwell’s equations in the Schrödinger formalism, , allow for effective and accurate description of light–matter interactions. Thanks to these advantages, grid-based RT-TDDFT finds widespread application in modeling linear and nonlinear optical responses in a broad spectrum of systems, from single atoms, ,,, through clusters ,, and molecules, ,,, to nanostructures and solid-state materials. ,,, However, it also has its limitations. For instance, it incorrectly describes single-electron excitations and Rabi oscillations in closed-shell systems , and suffers from the nonlinearity of the time-evolution equations. Additionally, its significant computational complexity typically restricts the treatment of larger systems at the all-electron level, necessitating the replacement of core electrons with pseudopotentials. ,,, Even with this workaround, the computational cost of RT-TDDFT greatly exceeds that of RT-TDCIS, a drawback shared with more sophisticated multideterminant methods such as real-time time-dependent coupled cluster, ,, RT-TDCISD, ,,,, and RT-TDCIS­(D). ,, An alternative approach to RT-TDDFT, proposed by Pauletti et al and also utilized in this work, is to add the exchange–correlation potential directly to the RT-TDCIS Hamiltonian, effectively turning it into the real-time time-dependent counterpart of the Tamm–Dancoff approximation (TDA).…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, recent advancements in representing external electromagnetic fields, such as recasting Maxwell’s equations in the Schrödinger formalism, 114 , 127 allow for effective and accurate description of light–matter interactions. Thanks to these advantages, grid-based RT-TDDFT finds widespread application in modeling linear and nonlinear optical responses in a broad spectrum of systems, from single atoms, 91 , 94 , 95 , 128 through clusters 124 , 129 , 130 and molecules, 50 , 94 , 96 , 131 133 to nanostructures 134 137 and solid-state materials. 115 , 127 , 138 , 139 However, it also has its limitations.…”
Section: Introductionmentioning
confidence: 99%