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Software News and Updates An Algorithm to Delineate and Integrate Topological Basins in a Three-Dimensional Quantum Mechanical Density Function

机译:软件新闻和更新在三维量子力学密度函数中描绘和整合拓扑盆地的算法

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The growing sctivity in the area of Quantum Chemical Topology warrants a new algorithm to delineate topological basins in 3D scalar fields other than the electron density Amethod based on the "octal tree search algorithm" of computer graphics is proposed to reach this goal We illustrate the algorithm on the L(r) function which is the negative of the Laplacian of the electron density Because of its complicated topology even in a simple test molecule such as water it benefists from the octal tree algorithm as a robust compact and general technique to find the bondraries of topological basins For the first time we are able to compute the population and volume of the core and valence (bonding and nonbonding ,i.e.,lone pair) basins given by L(r)'s topology.
机译:量子化学拓扑学领域日益增长的选择性保证了一种新的算法来描绘3D标量场中电子密度以外的拓扑盆地。基于计算机图形学的“八叉树搜索算法”,提出了一种新算法来实现这一目标。由于L(r)函数是电子密度的拉普拉斯算子的负数,因为它的拓扑复杂,即使在简单的测试分子(例如水)中,它还是八进制树算法的受益者,它是一种可靠的紧凑型通用技术,它可以找到键合子拓扑盆地的数量我们首次能够计算L(r)拓扑给出的核心盆地和价盆地(键合和非键合,即孤对)。

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