Quantum fluid dynamics in the Lagrangian representation and applications to photodissociation problems
This paper considers the practical utility of quantum fluid dynamics (QFD) whereby the time-dependent Schrödinger's equation is transformed to observing the dynamics of an equivalent >gas continuum.> The density and velocity of this equivalent gas continuum are respectively the probabilit...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 1999 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/100466 |
| Acceso en línea: | http://hdl.handle.net/10261/100466 |
| Access Level: | acceso abierto |
| Palabra clave: | Rheology and fluid dynamics Fluid equations Lagrangian mechanics Applied fluid dynamics Quantum flavor dynamics |
| Sumario: | This paper considers the practical utility of quantum fluid dynamics (QFD) whereby the time-dependent Schrödinger's equation is transformed to observing the dynamics of an equivalent >gas continuum.> The density and velocity of this equivalent gas continuum are respectively the probability density and the gradient of the phase of the wave function. The numerical implementation of the QFD equations is carried out within the Lagrangian approach, which transforms the solution of Schrödinger's equation into following the trajectories of a set of mass points, i.e., subparticles, obtained by discretization of the continuum equations. The quantum dynamics of the subparticies which arise in the present formalism through numerical discretization are coupled by the density and the quantum potential. Numerical illustrations are performed for photodissociation of NOC1 and NO2 treated as two-dimensional models. The dissociation cross sections σ(ω)) are evaluated in the dramatically short CPU times of 33 s for NOCl and 40 s for NO2 on a Pentium-200 MHz PC machine. The computational efficiency comes from a combination of (a) the QFD representation dealing with the near monotonic amplitude and phase as dependent variables, (b) the Lagrangian description concentrating the computation effort at all times into regions of highest probability as an optimal adaptive grid, and (c) the use of an explicit time integrator whereby the computational effort grows only linearly with the number of discrete points, © 1999 American Institute of Physics. |
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