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Bootstrap Embedding for Molecules

机译:对分子的引导嵌入

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摘要

Fragment embedding is one way to circumvent the high computational scaling of accurate electron correlation methods. The challenge of applying fragment embedding to molecular systems primarily lies in the strong entanglement and correlation that prevent accurate fragmentation across chemical bonds. Recently, Schmidt decomposition has been shown effective for embedding fragments that are strongly coupled to a bath in several model systems. In this work, we extend a recently developed quantum embedding scheme, bootstrap embedding (BE), to molecular systems. The resulting method utilizes the matching conditions naturally arising from using overlapping fragments to optimize the embedding. Numerical simulation suggests that the accuracy of the embedding improves rapidly with fragment size for small molecules, whereas larger fragments that include orbitals from different atoms may be needed for larger molecules. BE scales linearly with system size (apart from an integral transform) and hence can potentially be useful for large-scale calculations.
机译:片段嵌入是规避精确电子相关方法的高计算缩放的一种方式。将片段嵌入到分子系统的挑战主要在于强烈的缠结和相关性,以防止化学键的准确碎片。最近,Schmidt分解已经显示出有效地嵌入若干模型系统中的浴缸的片段。在这项工作中,我们将最近开发的量子嵌入方案扩展到分子系统的最近开发的量子嵌入方案,自举嵌入(BE)。得到的方法利用自然引起的匹配条件使用重叠片段来优化嵌入。数值模拟表明,嵌入的准确性随着小分子的片段大小而改善,而较大的分子可能需要从不同原子中包含来自不同原子的轨道的较大片段。用系统尺寸(除了积分变换)线性地线性缩放,因此可能对大规模计算有用。

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