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Growing string method with interpolation and optimization in internal coordinates: Method and examples

机译:在内部坐标中进行插值和优化的增长字符串方法:方法和示例

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摘要

The growing string method (GSM) has proven especially useful for locating chemical reaction paths at low computational cost. While many string methods use Cartesian coordinates, these methods can be substantially improved by changes in the coordinate system used for interpolation and optimization steps. The quality of the interpolation scheme is especially important because it determines how close the initial path is to the optimized reaction path, and this strongly affects the rate of convergence. In this article, a detailed description of the generation of internal coordinates (ICs) suitable for use in GSM as reactive tangents and in string optimization is given. Convergence of reaction paths is smooth because the IC tangent and orthogonal directions are better representations of chemical bonding compared to Cartesian coordinates. This is not only important quantitatively for reducing computational cost but also allows reaction paths to be described with smoothly varying chemically relevant coordinates. Benchmark computations with challenging reactions are compared to previous versions of GSM and show significant speedups. Finally, a climbing image scheme is included to improve the quality of the transition state approximation, ensuring high reliability of the method.
机译:事实证明,增长字符串法(GSM)特别适用于以较低的计算成本定位化学反应路径。尽管许多字符串方法使用笛卡尔坐标,但是可以通过更改用于插值和优化步骤的坐标系来显着改善这些方法。插值方案的质量特别重要,因为它确定了初始路径与优化的反应路径之间的距离,这会极大地影响收敛速度。在本文中,详细介绍了内部坐标(IC)的生成,这些坐标适用于GSM作为反应性切线和字符串优化。反应路径的收敛是平滑的,因为与笛卡尔坐标相比,IC切线和正交方向更好地表示了化学键。这不仅在定量上对于减少计算成本很重要,而且还可以用平滑变化的化学相关坐标描述反应路径。具有挑战性反应的基准计算与GSM的早期版本进行了比较,显示出显着的加速效果。最后,包括攀爬图像方案以提高过渡态近似的质量,从而确保该方法的高可靠性。

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