对于数值原子中心轨道框架中的分子和固体,自相互作用校正的SCAN功能.
Sheng Bi1,2,3, Christian Carbogno1, Igor Ying Zhang2,4
1The NOMAD Laboratory at the FHI of the Max-Planck-Gesellschaft and IRIS-Adlershof of the Humboldt-Universität zu Berlin, Faradayweg 4-6, D-14195 Berlin-Dahlem, Germany.
The Journal of chemical physics
|January 18, 2024
概括
这项研究引入了一种稳定的自我相互作用校正 (SIC) 方法,以改善像SCAN这样的密度函数近似 (DFA). 新的方法提高了对电离潜力,电荷转移能量以及分子和固体中带隙的精度.
科学领域:
- 计算化学计算化学
- 材料科学 材料科学 材料科学
- 量子力学就是量子力学.
背景情况:
- 半局密度函数近似 (DFAs) 存在自我相互作用误差 (SIE).
- 珀杜-格尔自我相互作用校正 (PZ-SIC) 方法旨在减轻SIE,但在数值上是不稳定的.
- 准确的电子结构计算对于预测材料和分子性质至关重要.
研究的目的:
- 开发PZ-SIC方法的数量稳定和高效的实现.
- 为了减轻SCAN功能中的自我交互错误.
- 提高分子和固体计算电子属性的精度.
主要方法:
- 引入了一种新的约束,用于SIC轨道的自我一致本地化,灵感来自Edmiston-Ruedenberg本地化.
- 在全电子数值原子中心轨道代码FHI-aims中实现了受约束的PZ-SIC方法.
- 在各种分子和固体上测试了该方法,以评估其电子性能.
主要成果:
- 在分子和固体中实现了自相一致的PZ-SIC计算的高效和稳定的收.
- 在SCAN功能中显著缓解了SIE,提高了对电离电位,电荷转移能量和带隙的准确性.
- 证明该方法不会改善SCAN已经准确地描述的属性,例如凝聚能和格子常数.
结论:
- 开发的受约束的PZ-SIC方法提供了一种稳定而实用的方法来纠正DFAs中的自我交互错误.
- 这一进步提高了特定属性的电子结构计算的预测能力.
- 强调持续需要下一代DFAs,具有更广泛的适用性和固有的准确性.
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