分子动力学和逆散射的灵敏度分析

Shenghua Shi, Herschel Rabitz
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引用次数: 6

摘要

讨论了分子散射和反散射问题中灵敏度分析的计算方法。重点放在计算相对于相互作用势的任意变化的动态可观测值的功能灵敏度密度(功能导数)。在量子力学中,这些灵敏度密度完全由散射波函数决定。因此,散射波函数不仅可以用来产生传统的动力观测值,而且可以用来产生这些观测值对相互作用势的详细特征的敏感性。在经典动力学计算中,泛函灵敏度分析需要求解一组附加的灵敏度微分方程。由于轨迹函数灵敏度的奇异性以及与长寿命轨迹相关的高灵敏度,这些方程可能需要特殊处理。函数灵敏度密度提供了一种从动力学计算中提取最大信息的方法。此外,灵敏度密度可以用来建立一个迭代过程,从实验测量的动态观测数据重建基本的潜在相互作用势。
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Sensitivity analysis in molecular dynamics and inverse scattering

The computational techniques of sensitivity analysis in molecular scattering and inverse scattering problems are discussed. Emphasis is placed on the computation of functional sensitivity densities (functional derivatives) of the dynamical observables with respect to an arbitrary variation in the interaction potential. In the case of quantum mechanics, these sensitivity densities are completely determined by the scattering wave functions. Thus, it is shown that scattering wave functions may be used not only to yield the traditional dynamical observables but also the sensitivity of these observables to detailed features in the interaction potential. In the case of classical dynamical calculations, functional sensitivity analysis requires a solution of an additional set of sensitivity differential equations. These equations may require special treatment due to the singular nature of the trajectory functional sensitivities as well as the high sensitivity associated with long-lived trajectories. The functional sensitivity densities provide a means to extract maximal information from dynamical calculations. Furthermore, the sensitivity densities may be employed to establish an iterative procedure for reconstruction of the fundamental underlying interaction potential from experimentally measured dynamical observables.

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The dynamics of molecule-surface interaction Contents to volume 12 The knowledge-based system GRAPE and its application to Landau theory analysis for magnetic space groups The knowledge-based system GRAPE and its application to Landau theory analysis for magnetic space groups Preface
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