QM/AMOEBA对嵌入分子性质和动力学的描述

IF 16.8 2区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Michele Nottoli, Mattia Bondanza, Patrizia Mazzeo, Lorenzo Cupellini, Carles Curutchet, Daniele Loco, Louis Lagardère, Jean-Philip Piquemal, Benedetta Mennucci, Filippo Lipparini
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引用次数: 2

摘要

我们描述了基于AMOEBA极化力场的可极化QM/MM策略的开发、实现和应用,用于计算复杂矩阵中嵌入的分子系统的分子性质和执行动力学。我们表明,可极化QM/MM是一种众所周知的成熟技术,可以使用最先进的实现来部署,该实现结合了有效的数值方法和线性缩放技术。由于这些数值进展以及AMOEBA力场中广泛系统参数的可用性,可极化QM/AMOEBA可用于先进的生产应用,从光谱预测到基态和激发态多尺度从头算分子动力学模拟。本文分类如下:
本文章由计算机程序翻译,如有差异,请以英文原文为准。

QM/AMOEBA description of properties and dynamics of embedded molecules

QM/AMOEBA description of properties and dynamics of embedded molecules

We describe the development, implementation, and application of a polarizable QM/MM strategy, based on the AMOEBA polarizable force field, for calculating molecular properties and performing dynamics of molecular systems embedded in complex matrices. We show that polarizable QM/MM is a well-understood, mature technology that can be deployed using a state-of-the-art implementation that combines efficient numerical methods and linear scaling techniques. Thanks to these numerical advances and to the availability of parameters for a wide manifold of systems in the AMOEBA force field, polarizable QM/AMOEBA can be used for advanced production applications, that range from the prediction of spectroscopies to ground- and excited-state multiscale ab initio molecular dynamics simulations.

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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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