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Ab initio multiple cloning algorithm for quantum nonadiabatic molecular dynamics.

机译:量子非绝热分子动力学的从头算多克隆算法。

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摘要

We present a new algorithm for ab initio quantum nonadiabatic molecular dynamics that combines the best features of ab initio Multiple Spawning (AIMS) and Multiconfigurational Ehrenfest (MCE) methods. In this new method, ab initio multiple cloning (AIMC), the individual trajectory basis functions (TBFs) follow Ehrenfest equations of motion (as in MCE). However, the basis set is expanded (as in AIMS) when these TBFs become sufficiently mixed, preventing prolonged evolution on an averaged potential energy surface. We refer to the expansion of the basis set as "cloning," in analogy to the "spawning" procedure in AIMS. This synthesis of AIMS and MCE allows us to leverage the benefits of mean-field evolution during periods of strong nonadiabatic coupling while simultaneously avoiding mean-field artifacts in Ehrenfest dynamics. We explore the use of time-displaced basis sets, "trains," as a means of expanding the basis set for little cost. We also introduce a new bra-ket averaged Taylor expansion (BAT) to approximate the necessary potential energy and nonadiabatic coupling matrix elements. The BAT approximation avoids the necessity of computing electronic structure information at intermediate points between TBFs, as is usually done in saddle-point approximations used in AIMS. The efficiency of AIMC is demonstrated on the nonradiative decay of the first excited state of ethylene. The AIMC method has been implemented within the AIMS-MOLPRO package, which was extended to include Ehrenfest basis functions.
机译:我们提出了一种新的从头算量子非绝热分子动力学的算法,该算法结合了从头算多重生成(AIMS)和多配置Ehrenfest(MCE)方法的最佳功能。在这种新方法中,从头开始多克隆(AIMC),各个轨迹基础函数(TBF)遵循Ehrenfest运动方程(与MCE中一样)。但是,当这些TBF充分混合时,将扩展基集(如在AIMS中一样),从而阻止了平均势能面上的长时间演化。我们将基础集的扩展称为“克隆”,类似于AIMS中的“生成”过程。 AIMS和MCE的这种综合使我们能够利用强非绝热耦合期间平均场演化的优势,同时避免Ehrenfest动力学中的平均场伪像。我们探索时移基集“火车”的使用,以此以很少的成本扩展基集。我们还引入了新的Bra-ket平均泰勒展开(BAT),以近似必要的势能和非绝热耦合矩阵元素。 BAT逼近避免了在TBF之间的中间点计算电子结构信息的必要性,就像在AIMS中使用的鞍点逼近通常所做的那样。 AIMC的效率在乙烯的第一激发态的非辐射衰减上得到证明。 AIMC方法已在AIMS-MOLPRO软件包中实现,该软件包已扩展为包括Ehrenfest基本功能。

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