在广泛使用的分散校正密度函数中,物理解释性和能量可预测性之间的平衡.
Saswata Dasgupta1, Etienne Palos1, Yuanhui Pan1
1Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, California 92093, United States.
Journal of chemical theory and computation
|December 27, 2023
概括
密度函数理论中的实证分散模型显示,由于参数匹配,各种系统的性能不可预测. 一种有针对性的分散方法改善了分子晶格的能量,但没有改善结构性质.
科学领域:
- 计算化学的计算化学
- 材料科学 材料科学 材料科学
背景情况:
- 非共价相互作用在分子系统中至关重要.
- 密度函数理论 (DFT) 在计算科学中被广泛使用.
- 精确的分散力建模对于DFT准确性至关重要.
研究的目的:
- 为了评估各种分散模型对流行的密度函数的性能.
- 分析这些模型在各种非共价系统中的准确性.
- 确定DFT中的分散模型的局限性和潜在改进.
主要方法:
- 使用相互作用能量和能量分解分析评估分散模型性能.
- 在从分子二次体到晶格的系统上测试模型.
- 使用向分散方法 (SCAN-rVV10) 进行实证分散模型的比较.
主要成果:
- 经验分散模型表现出系统依赖的可变性,并依赖于错误补偿.
- 由于错误补偿,revPBE-D3模型在一些水系统中显示了准确性,但在二次数中失败了.
- SCAN-rVV10显著减少了分子晶格能量中的错误,但对结构性质的准确性有限.
结论:
- 在实证分散模型中的参数拟合可以掩盖潜在的物理.
- 跨系统的分散校正函数的不可预测行为需要仔细的模型选择.
- 未来的分散模型应该优先考虑对分散能量的准确描述,以便在不同的系统中提高精度.
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