一个混合型的元上方函数用于多配置对密度函数理论
Jie J Bao1,2, Dayou Zhang1,2, Shaoting Zhang1,3
1Department of Chemistry, Chemical Theory Center, University of Minnesota, Minneapolis, MN 55455-0431.
概括
一个新的MC23功能通过结合动能密度来增强多配置对密度功能理论 (MC-PDFT). 这种混合元函数显示了强相相关和弱相相关系统的性能改善.
科学领域:
- 量子化学 是一个量子化学.
- 计算化学计算化学
- 材料科学 材料科学 材料科学
背景情况:
- 多配置对密度函数理论 (MC-PDFT) 是电子结构计算的一个新兴方法.
- 目前的MC-PDFT函数主要基于通用梯度近似 (GGAs),缺乏高级功能.
- 在Kohn-Sham密度函数理论 (KS-DFT) 中,元泛化梯度近似 (meta-GGA) 函数已经证明了卓越的准确性.
研究的目的:
- 为MC-PDFT开发和优化一种新的混合元GGA功能.
- 在MC-PDFT函数中引入动能密度以提高精度.
- 评估跨多种化学系统的新功能性能的性能.
主要方法:
- 为MC-PDFT开发一种混合上方功能,包含动能密度.
- 使用定制培训数据库优化功能参数.
- 对强相相关和弱相相关系统的现有KS-DFT函数进行基准测试.
主要成果:
- 介绍了MC23功能,这是MC-PDFT的混合元GGA.
- 与标准的KS-DFT功能相比,MC23显示了更高的准确性.
- 强度和弱度相关的电子系统都观察到性能改善.
结论:
- 功能性MC23代表了MC-PDFT的一个重大进步.
- 结合动能密度可以提高MC-PDFT的功能性能.
- 建议MC23用于计算化学和材料科学中的未来应用.
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