确定双占构型相互作用空间中的还原密度矩阵:赫尔曼-费曼定理方法。

IF 3.1 2区 化学 Q3 CHEMISTRY, PHYSICAL Journal of Chemical Physics Pub Date : 2024-10-07 DOI:10.1063/5.0228431
Adán Garros
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引用次数: 0

摘要

在这项工作中,赫尔曼-费曼定理在双占构型相互作用空间内得到了扩展,从而能够对还原密度矩阵和预期值进行实际计算。这种方法简单明了,采用有限能量差,即使使用连续逼近方法得到的近似能量,也能保持可靠和精确。在同一空间内,利用赫米特算子法获得的近似激发能量,针对理查森-高汀-基塔埃夫模型和还原巴丁-库珀-施里弗模型对该方法的有效性进行了严格测试,有效证明了该方法的可靠性,还原密度矩阵计算的中位误差率约为 0.1%。这些结果凸显了该程序作为计算还原密度矩阵和预期值的实用工具的潜力,尤其是在只有系统能量容易获得的情况下作为一种特殊方法的价值。
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Determination of reduced density matrices in the doubly occupied configuration interaction space: A Hellmann-Feynman theorem approach.

In this work, the Hellmann-Feynman theorem is extended within the doubly occupied configuration interaction space to enable practical calculations of reduced density matrices and expected values. This approach is straightforward, employing finite energy differences, yet remains reliable and accurate even with approximate energies from successive approximation methods. The method's validity is rigorously tested against the Richardson-Gaudin-Kitaev and reduced Bardeen-Cooper-Schrieffer models using approximate excitation energies procured from the Hermitian operator method within the same space, effectively proving the approach's reliability with median error rates for reduced density matrix calculations around 0.1%. These results highlight the procedure's potential as a practical tool for computing reduced density matrices and expected values, particularly valuable as an ad hoc method in scenarios where only system energies are easily available.

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来源期刊
Journal of Chemical Physics
Journal of Chemical Physics 物理-物理:原子、分子和化学物理
CiteScore
7.40
自引率
15.90%
发文量
1615
审稿时长
2 months
期刊介绍: The Journal of Chemical Physics publishes quantitative and rigorous science of long-lasting value in methods and applications of chemical physics. The Journal also publishes brief Communications of significant new findings, Perspectives on the latest advances in the field, and Special Topic issues. The Journal focuses on innovative research in experimental and theoretical areas of chemical physics, including spectroscopy, dynamics, kinetics, statistical mechanics, and quantum mechanics. In addition, topical areas such as polymers, soft matter, materials, surfaces/interfaces, and systems of biological relevance are of increasing importance. Topical coverage includes: Theoretical Methods and Algorithms Advanced Experimental Techniques Atoms, Molecules, and Clusters Liquids, Glasses, and Crystals Surfaces, Interfaces, and Materials Polymers and Soft Matter Biological Molecules and Networks.
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