探索均场势能和短程波函数行为在绝热连接中的作用。

IF 3.4 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Journal of Computational Chemistry Pub Date : 2024-05-15 DOI:10.1002/jcc.27378
Anthony Scemama, Andreas Savin
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引用次数: 0

摘要

在这篇文章中,我们探讨了具有长程相互作用的哈密顿构造以及利用波函数的短程行为对其进行修正的问题。我们研究的一个关键方面是考察在我们之前的工作中保持不变的单粒子势,以及其优化对绝热连接的影响。我们的方法包括使用依赖于单一参数的参数势,以方便实际计算。我们采用不同的约束势和相互作用参数,分析了双电子系统(谐波)在各种条件下的能量误差和密度。研究发现,虽然均场势能提高了物理哈密顿的期望值,但并不一定能在化学精度的范围内提高系统的能量。我们还深入研究了绝热连接中密度变化的影响,对平均场能改善结果的常见假设提出了质疑。我们的研究结果表明,只要能量误差保持在化学精度范围内,平均场就不会明显优于裸电势。这一观察结果归因于基于波函数短程行为的修正的有效性,这一普遍特征削弱了是否使用平均场的区别。
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Exploring the role of mean-field potentials and short-range wave function behavior in the adiabatic connection

In this article, we explore the construction of Hamiltonians with long-range interactions and their corrections using the short-range behavior of the wave function. A key aspect of our investigation is the examination of the one-particle potential, kept constant in our previous work, and the effects of its optimization on the adiabatic connection. Our methodology involves the use of a parameter-dependent potential dependent on a single parameter to facilitate practical computations. We analyze the energy errors and densities in a two-electron system (harmonium) under various conditions, employing different confinement potentials and interaction parameters. The study reveals that while the mean-field potential improves the expectation value of the physical Hamiltonian, it does not necessarily improve the energy of the system within the bounds of chemical accuracy. We also delve into the impact of density variations in adiabatic connections, challenging the common assumption that a mean field improves results. Our findings indicate that as long as energy errors remain within chemical accuracy, the mean field does not significantly outperform a bare potential. This observation is attributed to the effectiveness of corrections based on the short-range behavior of the wave function, a universal characteristic that diminishes the distinction between using a mean field or not.

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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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