有效 pecG-n (n=1,2) 为 Ga,Ge,As,Se 和 Br 的基本集,专门用于分子结构的几何优化
Yuriy Yu Rusakov1, Irina L Rusakova1
1A. E. Favorsky Irkutsk Institute of Chemistry, Siberian Branch of the Russian Academy of Sciences, Favorsky St. 1, 664033 Irkutsk, Russia.
International journal of molecular sciences
|September 13, 2025
概括
新的高效基数组,pecG-n,改善了第四期p元素的分子结构优化. 这些属性-能量一致 (PEC) 基础集与现有方法相比,提供了更高的准确性.
科学领域:
- 计算化学计算化学
- 量子化学 是一个量子化学.
- 理论化学 理论化学
背景情况:
- 精确的分子结构确定在化学中至关重要.
- 现有的基础集可能无法为某些元素的几何优化提供足够的准确性.
- 第4周期的p元素 (Ga,Ge,As,Se,Br) 需要可靠的计算工具.
研究的目的:
- 为第四个时期的p元素提出新的,高效的基础设置.
- 为了优化这些基础集,使用属性-能量一致 (PEC) 算法.
- 为了评估分子结构优化所提议的基础集的性能.
主要方法:
- 开发和优化 pecG-n (n=1,2) 的基础集.
- 使用属性-能量一致 (PEC) 算法进行优化.
- 对理论数据和气相电子衍射实验的验证.
主要成果:
- 提出的pecG-n (n=1,2) 基数组已成功开发.
- 性能评估显示,在预测平衡分子结构方面,其精度更高.
- 结果超过了用其他常用的几何优化基础集获得的结果.
结论:
- pecG-n (n=1,2) 基数组代表了计算研究的重大进步.
- 这些基础集为第4周期p元素提供了高质量的分子结构.
- 该PEC算法是有效的开发精确的基础集的几何优化.
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