从概念密度矩阵功能理论中使用福井矩阵探索内在债券属性
Bin Wang1, Paul Geerlings1, Farnaz Heidar-Zadeh2
1Research Group of General Chemistry (ALGC), Vrije Universiteit Brussel (VUB), Pleinlaan 2, Brussels B-1050, Belgium.
我们介绍了概念密度矩阵函数理论 (CDMFT) 来研究内在键反应性. 福井矩阵是密度矩阵的衍生,可以量化键强度的变化,并预测反应结果.
科学领域:
- 量子化学 是一个量子化学.
- 理论化学 理论化学
- 计算化学计算化学
背景情况:
- 概念密度功能理论 (CDFT) 传统上使用外部潜力.
- 调查内在的债券特性,如反应性,需要新的理论框架.
研究的目的:
- 将CDFT扩展到概念密度矩阵功能理论 (CDMFT).
- 开发一种方法来量化内在键反应性.
- 介绍福井矩阵作为债券顺序变化的描述符.
主要方法:
- 在能量函数中用一个电子积分h_rs取代了外部电位v(r).
- 导出福井矩阵 (密度矩阵P与电子数N相关的导数).
- 利用梅耶尔键序和原子在分子分区进行验证.
主要成果:
- 福井矩阵通过键顺序导数量化了电子添加/移除时的键强度变化.
- 债券订单衍生品显示与有限差异计算的良好一致.
- 纽带顺序导数成功地预测了电友加法中的区域选择性和质谱学中的纽带裂解.
结论:
- CDMFT提供了一种新的方法来研究债券内在性质.
- 福井矩阵和债券顺序导数是债券反应性的有效描述器.
- 这种方法可以准确地预测化学反应机制和碎片化模式.
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