Examining the Impact of Local Constraint Violations on Energy Computations in DFT

IF 3.4 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Journal of Computational Chemistry Pub Date : 2025-01-02 DOI:10.1002/jcc.70005
Vaibhav Khanna, Bikash Kanungo, Vikram Gavini, Ambuj Tewari, Paul M. Zimmerman
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Abstract

This work examines the impact of locally imposed constraints in Density Functional Theory (DFT). Using a metric referred to as the extent of violation index (EVI), we quantify how well exchange-correlation functionals adhere to local constraints. Applying EVIs to a diverse set of molecules for GGA functionals reveals constraint violations, particularly for semi-empirical functionals. We leverage EVIs to explore potential connections between these violations and errors in chemical properties. While no correlation is observed for atomization energies, a significant statistical correlation emerges between EVIs and total energies. Similarly, the analysis of reaction energies suggests weak positive correlations for specific constraints. However, definitive conclusions about error cancellation mechanisms cannot be made at this time. These observations revealed by EVIs may be useful for consideration when designing future generations of semilocal functionals.

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局部约束违背对DFT中能量计算的影响研究
本研究考察了密度泛函理论(DFT)中局部强加约束的影响。使用一种称为违和程度指数(EVI)的度量,我们量化交换相关函数遵守局部约束的程度。将evi应用于GGA泛函的各种分子,揭示了约束违规,特别是对于半经验泛函。我们利用evi来探索这些违规和化学性质错误之间的潜在联系。虽然没有观察到原子化能之间的相关性,但evi与总能量之间存在显著的统计相关性。同样,对反应能的分析表明,在特定的约束条件下,两者之间存在微弱的正相关关系。然而,目前还不能得出关于错误消除机制的明确结论。evi揭示的这些观察结果可能对设计未来几代半局部泛函有用。
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来源期刊
CiteScore
6.60
自引率
3.30%
发文量
247
审稿时长
1.7 months
期刊介绍: This distinguished journal publishes articles concerned with all aspects of computational chemistry: analytical, biological, inorganic, organic, physical, and materials. The Journal of Computational Chemistry presents original research, contemporary developments in theory and methodology, and state-of-the-art applications. Computational areas that are featured in the journal include ab initio and semiempirical quantum mechanics, density functional theory, molecular mechanics, molecular dynamics, statistical mechanics, cheminformatics, biomolecular structure prediction, molecular design, and bioinformatics.
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