短距离选密度矩阵可用于适当描述热化学,热化学动力学,非结合相互作用和单个二极根
Wenna Ai1, Neil Qiang Su1, Wei-Hai Fang1
1Department of Chemistry, Key Laboratory of Advanced Energy Materials Chemistry (Ministry of Education), Frontiers Science Center for New Organic Matter, Nankai University, Tianjin 300071, China.
The Journal of chemical physics
|November 7, 2023
概括
新的 ωP22 函数通过更好地处理动态相关性来改进低密度矩阵函数理论 (RDMFT). 这种增强的RDMFT显示了主要组热化学和动力学近平衡几何学的精度提高.
科学领域:
- 计算化学的计算化学
- 量子化学 是一个量子化学.
- 材料科学 材料科学 材料科学
背景情况:
- 一个电子减少密度矩阵 (1-RDM) 函数经常低估动态相关性.
- 这种限制阻碍了减少密度矩阵函数理论 (RDMFT) 与密度函数理论 (DFT) 相比,对于化学性质的准确性.
- 精确处理动态相关性对于预测分子行为至关重要.
研究的目的:
- 在RDMFT中评估新型 ωP22 函数的性能.
- 评估其改善动态相关性处理的能力.
- 为了确定其在各种化学性质预测中的有效性.
主要方法:
- 系统评估两个参数 ωP22 功能模型.
- 适用于主要组热化学,热化学动力学和非结合相互作用.
- 对原子化能量,振动频率和反应障碍进行测试.
主要成果:
- ωP22 函数可靠地预测了接近平衡的几何特征.
- 它的性能优于常见的DFT功能,用于反应障碍和非结合相互作用.
- 观察到单项二极根的更好的预测和增强的RDMFT预测能力.
结论:
- ωP22 函数在例行计算中为 RDMFT 提供了一个有前途的进步.
- 它增强了围绕平衡的热化学和运动学的预测能力.
- 为了更广泛的准确性,需要进一步细化短距离和远距离近似值.
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