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评估 SAPT 和超分子 EDA 方法在可分离和极化力场发展中的应用。

Assessment of SAPT and Supermolecular EDA Approaches for the Development of Separable and Polarizable Force Fields.

机构信息

Laboratoire de Chimie Théorique, Sorbonne Université, UMR 7616 CNRS, 75005 Paris, France.

School of Physics and Astronomy and the Thomas Young Centre for Theory and Simulation of Materials at Queen Mary University of London, London E1 4NS, U.K.

出版信息

J Chem Theory Comput. 2021 May 11;17(5):2759-2774. doi: 10.1021/acs.jctc.0c01337. Epub 2021 Apr 20.

Abstract

Which is the best reference quantum chemical approach to decipher the energy components of the total interaction energy: Symmetry-Adapted Perturbation Theory (SAPT) or Supermolecular Energy Decomposition Analysis (EDA) methods? With the rise of physically motivated polarizable force fields (polFF) grounded on these procedures, the need to answer such a question becomes critical. We report a systematic and detailed assessment of three variants of SAPT (namely SAPT2, SAPT2+3, and SAPT(DFT)) and three supermolecular EDA approaches (ALMO, CSOV, and RVS). A set of challenging, strongly bound water complexes, (HO), Zn. . .HO, and F. . .HO, is used as "stress tests" for these electronic structure methods. We have developed a procedure to separate the induction energy into the polarization and charge-delocalization using an infinite-order strategy based on SAPT(DFT). This paper aims to provide not only an overview of the capabilities and limitations but also similarities of SAPT and supermolecular EDA approaches for polFF developments. Our results show that SAPT(DFT)/no and ωB97X-D∥ALMO are the most accurate and reliable techniques.

摘要

哪种参考量子化学方法最适合破译总相互作用能的能量组成部分

对称自适应微扰理论 (SAPT) 还是超分子能量分解分析 (EDA) 方法?随着基于这些程序的物理上合理的极化力场 (polFF) 的兴起,回答这样的问题变得至关重要。我们报告了 SAPT 的三种变体(即 SAPT2、SAPT2+3 和 SAPT(DFT))和三种超分子 EDA 方法(ALMO、CSOV 和 RVS)的系统和详细评估。(HO),Zn. . .HO 和 F. . .HO 的一系列具有挑战性的强结合水复合物被用作这些电子结构方法的“压力测试”。我们已经开发了一种使用基于 SAPT(DFT) 的无限阶策略将诱导能分离为极化和电荷离域的程序。本文旨在不仅概述 SAPT 和超分子 EDA 方法的能力和局限性,还概述它们在 polFF 开发中的相似性。我们的结果表明,SAPT(DFT)/no 和 ωB97X-D∥ALMO 是最准确和可靠的技术。

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