激发能量的线性缩放计算,使用活性空间粒子-粒子随机相近似计算
Jiachen Li1, Jincheng Yu1, Zehua Chen1
1Department of Chemistry, Duke University, Durham, North Carolina 27708, United States.
The journal of physical chemistry. A
|September 11, 2023
概括
我们开发了一种高效的活性空间粒子-粒子随机相近似 (ppRPA) 方法,用于准确的分子激发能. 这种方法提供线性缩放,使其适合大型系统,并显著降低计算成本.
科学领域:
- 量子化学 是一个量子化学.
- 计算化学计算化学
- 理论化学 理论化学
背景情况:
- 精确计算分子激发能量对于理解化学过程至关重要.
- 传统的方法经常面临计算局限性,随着系统大小的增加.
研究的目的:
- 开发一种有效的活性空间粒子-粒子随机相近似 (ppRPA) 方法.
- 为了能够准确计算分子系统的电荷中性激发能.
- 为了实现线性缩放,用于激发能量计算的计算成本.
主要方法:
- 通过切断粒子-粒子和洞-洞对来开发一个活跃空间ppRPA方法.
- 对边界轨道的受约束轨道索引有助于低层激发.
- 应用了该方法来计算价值,电荷转移,里德伯格,双和二基激发.
- 将方法扩展到使用重新规范的单个 (RS) T-矩阵方法计算核心级绑定能量的方法.
主要成果:
- 活动空间ppRPA方法实现与系统大小的线性缩放.
- 与全空间ppRPA相比,预测激发能量的平均绝对误差 (MAE) 低于0.03 eV.
- 准确的绝对和相对核心级结合能得到了MAE分别为1.58 eV和0.3 eV.
结论:
- 活性空间ppRPA方法为计算分子激发能提供了一种高效和准确的方法.
- 线性缩放性使得它对大而复杂的分子系统非常有前途.
- 该方法还显示了准确的核心级绑定能量预测的潜力.
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