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Fully adaptive propagation of the quantum-classical Liouville equation

机译:量子古典Liouville方程的完全自适应传播

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In mixed quantum-classical molecular dynamics few but important degrees of freedom of a dynamical system are modeled quantum-mechanically while the remaining ones are treated within the classical approximation.Rothe methods established in the theory of partial differential equations are used to control both temporal and spatial discretization errors on grounds of a global tolerance criterion.The TRAIL (trapezoidal rule for adaptive integration of Liouville dynamics) scheme [I.Horenko and M.Weiser,J.Comput.Chem.24,1921 (2003)] has been extended to account for nonadiabatic effects in molecular dynamics described by the quantum-classical Liouville equation.In the context of particle methods,the quality of the spatial approximation of the phase-space distributions is maximized while the numerical condition of the least-squares problem for the parameters of particles is minimized.The resulting dynamical scheme is based on a simultaneous propagation of moving particles (Gaussian and Dirac deltalike trajectories) in phase space employing a fully adaptive strategy to upgrade Dirac to Gaussian particles and,vice versa,downgrading Gaussians to Dirac-type trajectories.This allows for the combination of Monte-Carlo-based strategies for the sampling of densities and coherences in multidimensional problems with deterministic treatment of nonadiabatic effects.Numerical examples demonstrate the application of the method to spin-boson systems in different dimensionality.Nonadiabatic effects occurring at conical intersections are treated in the diabatic representation.By decreasing the global tolerance,the numerical solution obtained from the TRAIL scheme are shown to converge towards exact results.
机译:在混合量子经典分子动力学中,动力学系统中很少但重要的自由度是用量子力学建模的,而其余的自由度则在经典近似中进行处理。偏微分方程理论中建立的Rothe方法用于控制时域和时域。基于整体公差标准的空间离散误差。TRAIL(Liouville动力学的自适应积分梯形法则)方案[I.Horenko和M.Weiser,J.Comput.Chem.24,1921(2003)]已扩展到解释了量子经典Liouville方程所描述的分子动力学中的非绝热效应。在粒子方法的上下文中,相空间分布的空间近似的质量最大化,而参数的最小二乘问题的数值条件产生的动力学方案基于运动粒子的同时传播(高斯和狄拉克·德相空间中的ltalike轨迹),采用完全自适应策略将Dirac升级为高斯粒子,反之亦然,将Gaussian降级为Dirac型轨迹。这允许将基于蒙特卡洛的策略组合用于采样密度和相干性数值问题证明了该方法在不同维数的自旋玻色子系统中的应用。在圆锥形相交处发生的绝热效应在非绝热表示中得到了解决。通过减小整体容差,从中获得了数值解TRAIL方案显示可以收敛到准确的结果。

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