对于高斯式和斯莱特式基础函数的s-函数的基本集要求和与距离隔离混合和双混合函数的比较
Steffen Fauser1, Arno Förster2, Leon Redeker1
1Lehrstuhl für Theoretische Chemie, Universität Erlangen-Nürnberg, Egerlandstr. 3, D-91058 Erlangen, Germany.
Journal of chemical theory and computation
|March 11, 2024
概括
这项研究探讨了精确的化学预测所需的降低基准要求. 较小的基数组保持高精度,优于随机相近似和传统方法.
科学领域:
- 量子化学 是一个量子化学.
- 计算化学的计算化学
- 密度函数理论 密度函数理论
背景情况:
- σ-函数是高级相关函数,它来自于亚底波连接波动-散流定理.
- 它们在计算上与随机相近似 (RPA) 类似,但提供了显著更高的准确性.
- 之前的研究利用了大型高斯基数组,促使对基数组需求的减少进行了调查.
研究的目的:
- 为了确定基础,对s-functionals.设置了要求.
- 开发和评估使用较小的高斯和斯莱特类型基础集高效的s-功能设置.
- 将这些新设置的准确性与RPA,传统的Kohn-Sham (KS) 方法和其他高级函数进行比较.
主要方法:
- 用减少的高斯基集 (三倍-ζ和四倍-ζ质量) 实现 σ-函数.
- 开发使用斯莱特类型基础集 (三倍-ζ和四倍-ζ质量) 的s-功能实现.
- 在多样化的数据库上进行广泛的测试,包括物理性质,反应能量,几何形状和振动频率.
主要成果:
- 对于σ-函数的缩小基础集大小导致精度略有下降.
- 所有测试的s-功能设置在精度上显著优于RPA和传统KS方法.
- 最小的基数组的重对称化设置减轻了由于基数组错误而导致的准确性损失.
- 与范围分离的混合动力和双混合动力功能相比,σ-功能显示出更高的准确性.
结论:
- 具有较小基础集的高效s-功能设置是可行的,提供精度和计算成本之间的平衡.
- 在各种化学应用中,s-函数代表了对现有方法的高度准确和计算可行的替代方案.
- 开发的方法为更容易获得的高精度量子化学计算提供了途径.
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