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Heuristic computation of the rovibrational G matrix in optimized molecule-fixed axes. Gmat 2.1

机译:在优化的分子固定轴上旋转G矩阵的启发式计算。 Gmat 2.1

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Gmat 2.1 is a program able to compute the rovibrational G matrix in different molecule-fixed axes extending the capabilities of Gmat 1.0. The present version is able to select optimal molecule-fixed axes minimizing the pure rotational kinetic elements, the rovibrational kinetic elements or both simultaneously. To such an end, it uses a hybrid minimization approach. Thus, it combines a global search heuristic based in simulated annealing with a gradient-free local minimization. As the previous version, the program handles the structural results of potential energy hypersurface mappings computed in computer clusters or computational Grid environments. However, since now more general molecule-fixed axes can be defined, a procedure is implemented to ensure the same minimum of the cost function is used in all the molecular structures. In addition, an algorithm for the unambiguous definition of the molecule-fixed axes orientation is used. Program summary: Program title: Gmat 2.1. Catalogue identifier: AECZ_v2_0. Program summary URL: http://cpc.cs.qub.ac.uk/summaries/AECZ_v2_0.html. Program obtainable from: CPC Program Library, Queen's University, Belfast, N. Ireland. Licensing provisions: Standard CPC licence, http://cpc.cs.qub.ac.uk/licence/licence.html. No. of lines in distributed program, including test data, etc.: 52 555. No. of bytes in distributed program, including test data, etc.: 932 366. Distribution format: tar.gz. Programming language: Standard ANSI C++. Computer: All. Operating system: Linux, Windows. Classification: 16.2. Catalogue identifier of previous version: AECZ_v1_0. Journal reference of previous version: Comput. Phys. Comm. 180 (2009) 1183. Does the new version supersede the previous version?: Yes. Nature of problem: When building molecular rovibrational Hamiltonians, the kinetic terms depend on the molecule-fixed axes orientation. Thus, an appropriate orientation can significantly simplify the treatment of pure rotation and rovibrational coupling. The kinetic terms are collected in the rovibrational G matrix. Thus, selection of an appropriate molecule-fixed reference frame is equivalent to localize the axes that minimize specific G matrix elements. From this standpoint, three different kinds of molecule-fixed axes are of interest: first, axes minimizing pure rotational elements of the G matrix; second, axes minimizing all the rovibrational G matrix elements; third, axes minimizing simultaneously pure rotational + rovibrational coupling elements. Solution method: In order to carry out the optimal selection of molecule-fixed axes, we add a hybrid method of minimization to the capabilities included in the first version of the program [1]. Thus, we minimize specific elements of the rovibrational G matrix. To such an end, we apply a heuristic global optimization strategy, simulated annealing [2], followed by a Powell's local minimization [3]. We also include a procedure to ensure that the same minimum is used when several molecular configurations are considered. In addition, an unambiguous molecule-fixed axes ordering is implemented. Reasons for new version: The previous version of the program, Gmat 1.0, works in principal axes of inertia. Although this axes system is adequate for pure vibrational Hamiltonians, it is not always optimal for the construction of general rovibrational Hamiltonians. However, implementing the methods presented here, we can obtain molecule-fixed axes minimizing pure rotational or/and rovibrational interactions in the G matrix. In this form, we can derive the simplest analytical form of the rovibrational Hamiltonian.
机译:Gmat 2.1是一个能够在不同的分子固定轴上计算振动G矩阵的程序,从而扩展了Gmat 1.0的功能。当前版本能够选择最佳的分子固定轴,以最小化纯旋转动力学元素,旋转振动动力学元素或同时最小化两者。为此,它使用混合最小化方法。因此,它结合了基于模拟退火的全局搜索启发式算法和无梯度的局部最小化。与以前的版本一样,该程序处理在计算机集群或计算网格环境中计算出的势能超表面映射的结构结果。但是,由于现在可以定义更通用的分子固定轴,因此需要执行一个程序来确保在所有分子结构中使用相同的最小成本函数。另外,使用了用于明确定义分子固定轴方向的算法。程序摘要:程序标题:Gmat 2.1。目录标识符:AECZ_v2_0。程序摘要URL:http://cpc.cs.qub.ac.uk/summaries/AECZ_v2_0.html。可从以下网站获得该程序:爱尔兰北卡罗来纳州皇后大学CPC程序库。许可条款:标准CPC许可,http://cpc.cs.qub.ac.uk/licence/licence.html。分布式程序中包括测试数据等的行数:52555。分布式程序中包括测试数据等的字节数:932366。分发格式:tar.gz。编程语言:标准ANSI C ++。电脑:全部。操作系统:Linux,Windows。分类:16.2。先前版本的目录标识符:AECZ_v1_0。先前版本的期刊参考:计算。物理通讯180(2009)1183。新版本取代以前的版本吗?:是。问题性质:建立分子振动哈密顿量时,动力学项取决于分子固定轴的方向。因此,适当的方向可以大大简化纯旋转和振动耦合的处理。动力学项收集在旋转G矩阵中。因此,选择合适的分子固定参照系等同于定位使特定G矩阵元素最小化的轴。从这个角度来看,感兴趣的是三种不同类型的分子固定轴:第一,最小化G矩阵的纯旋转元素的轴;第二,最小化所有旋转G矩阵元素的轴;第三,同时最小化纯旋转+旋转耦合元件的轴。解决方法:为了对分子固定轴进行最佳选择,我们在程序的第一版[1]中添加了一种最小化混合方法。因此,我们最小化了旋转G矩阵的特定元素。为此,我们应用了启发式全局优化策略,即模拟退火[2],然后是Powell的局部最小化[3]。我们还包括一个程序,以确保在考虑多个分子构型时使用相同的最小值。另外,实现了明确的分子固定轴排序。新版本的原因:该程序的先前版本Gmat 1.0在惯性主轴上运行。尽管此轴系统足以满足纯振动哈密顿量的要求,但对于一般旋转振动哈密顿量的构造并不总是最佳的。但是,通过实施此处介绍的方法,我们可以获得在G矩阵中最小化纯旋转或/和旋转振动相互作用的分子固定轴。通过这种形式,我们可以得出旋转哈密顿量的最简单分析形式。

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