子系统密度函数理论(更新)

IF 16.8 2区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Christoph R. Jacob, Johannes Neugebauer
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引用次数: 0

摘要

自我们关于子系统密度函数理论(sDFT)的综述(WIREs Comput Mol Sci. 2014, 4:325-362)发表以来,过去几年见证了与sDFT和冻结密度嵌入(FDE)相关的量子力学分裂和嵌入方法的快速发展和多样化。在这篇后续文章中,我们将介绍有关 sDFT/FDE 的形式和算法工作的最新进展、为处理这些 DFT/DFT 混合方法中的非加成动能而开发的新近似方法、新的应用领域以及对以前无法获得的性质的扩展、基于投影的技术作为单纯基于密度的嵌入的替代方法、波函数在 DFT 中嵌入的进展、在 DFT 范畴内技术上或概念上类似于 sDFT 的新的碎裂策略,以及高级 DFT/MM 和近似 DFT/DFT 嵌入方法之间模糊的界限。本文归类于
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Subsystem density-functional theory (update)

Subsystem density-functional theory (update)

The past years since the publication of our review on subsystem density-functional theory (sDFT) (WIREs Comput Mol Sci. 2014, 4:325–362) have witnessed a rapid development and diversification of quantum mechanical fragmentation and embedding approaches related to sDFT and frozen-density embedding (FDE). In this follow-up article, we provide an update addressing formal and algorithmic work on sDFT/FDE, novel approximations developed for treating the non-additive kinetic energy in these DFT/DFT hybrid methods, new areas of application and extensions to properties previously not accessible, projection-based techniques as an alternative to solely density-based embedding, progress in wavefunction-in-DFT embedding, new fragmentation strategies in the context of DFT which are technically or conceptually similar to sDFT, and the blurring boundary between advanced DFT/MM and approximate DFT/DFT embedding methods.

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来源期刊
Wiley Interdisciplinary Reviews: Computational Molecular Science
Wiley Interdisciplinary Reviews: Computational Molecular Science CHEMISTRY, MULTIDISCIPLINARY-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
28.90
自引率
1.80%
发文量
52
审稿时长
6-12 weeks
期刊介绍: Computational molecular sciences harness the power of rigorous chemical and physical theories, employing computer-based modeling, specialized hardware, software development, algorithm design, and database management to explore and illuminate every facet of molecular sciences. These interdisciplinary approaches form a bridge between chemistry, biology, and materials sciences, establishing connections with adjacent application-driven fields in both chemistry and biology. WIREs Computational Molecular Science stands as a platform to comprehensively review and spotlight research from these dynamic and interconnected fields.
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