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: C++ 的高效易用半经验库

: An Efficient and Easy to Use Semiempirical Library for C+.

机构信息

Institute of Structural Biology, Helmholtz Zentrum Muenchen, Ingolstaedter Landstrasse 1, 85764 Neuherberg, Germany.

出版信息

J Chem Inf Model. 2022 Aug 22;62(16):3685-3694. doi: 10.1021/acs.jcim.2c00757. Epub 2022 Aug 5.

Abstract

We introduce , a user-friendly and robust library for semiempirical quantum chemical calculations. In its current version, is equipped with a large set of different semiempirical models, most of which are based on the Neglect of Diatomic Differential Overlap (NDDO) approximation. Empirical corrections for dispersion and hydrogen bonding are available for most methods, so that higher quality is achieved in the calculation of energies of nonbonded complexes. The library is furthermore equipped with geometry optimization, as well as modules for calculating molecular properties of general interest. Ideal gas thermodynamics is available and allows single structure as well as conformer (multistructure) averaged properties to be calculated. We offer the possibility to use several vibrational partition functions according to the nature of interactions being studied: for covalent systems, the traditional harmonic oscillator approximation is available; for nonbonded complexes, we systematically extended the partition function proposed by Grimme for all thermodynamic functions. The library is also capable of running Born-Oppenheimer molecular dynamics.

摘要

我们介绍了, 这是一个用户友好且强大的半经验量子化学计算库。在当前版本中, 配备了大量不同的半经验模型,其中大多数基于忽略二原子微分重叠 (NDDO) 近似。大多数方法都有用于色散和氢键的经验修正,因此在计算非键合配合物的能量时可以获得更高的质量。该库还配备了几何优化,以及用于计算一般感兴趣的分子性质的模块。理想气体热力学是可用的,并允许计算单个结构以及构象(多结构)平均性质。我们提供了根据所研究相互作用的性质使用几种振动配分函数的可能性:对于共价体系,可使用传统的谐振子近似;对于非键合配合物,我们系统地扩展了 Grimme 为所有热力学函数提出的配分函数。该库还能够运行 Born-Oppenheimer 分子动力学。

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