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arXiv 1503.01432physics.chem-phphysics.atm-clusphysics.data-an
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复杂分子碰撞动力学的高斯过程模型

Gaussian Process Model for Collision Dynamics of Complex Molecules

Jie Cui, Roman V. Krems

摘要:

我们表明,高斯过程模型可以与少量(100阶)的散射计算相结合,以提供一个多维的依赖性的散射观测实验可控参数,如碰撞能量或温度)以及势能面(PES)参数。对于Ar - C $_6$ H $_6$碰撞,我们证明了200个经典轨道计算足以提供一个10维超曲面,给出了碰撞寿命对碰撞能量,内部温度和8个PES参数的依赖关系。这可以用于解决逆散射问题,热平均可观测量的有效计算,用于通过对PES变化进行平均来减少分子动力学计算的误差,以及可观测量对确定PES的各个参数的灵敏度的分析。该模型提供了量子散射截面的精确描述,甚至接近散射共振。

英文摘要:

We show that a Gaussian Process model can be combined with a small number (of order 100) of scattering calculations to provide a multi-dimensional dependence of scattering observables on the experimentally controllable parameters such as the collision energy or temperature) as well as the potential energy surface (PES) parameters. For the case of Ar - C$_6$H$_6$ collisions, we show that 200 classical trajectory calculations are sufficient to provide a 10-dimensional hypersurface, giving the dependence of the collision lifetimes on the collision energy, internal temperature and 8 PES parameters. This can be used for solving the inverse scattering problem, the efficient calculation of thermally averaged observables, for reducing the error of the molecular dynamics calculations by averaging over the PES variations, and the analysis of the sensitivity of the observables to individual parameters determining the PES.Trained by a combination of classical and quantum calculations, the model provides an accurate description of the quantum scattering cross sections, even near scattering resonances.

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