QM/AMOEBA description of properties and dynamics of embedded molecules

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

Abstract

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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Abstract Image

QM/AMOEBA对嵌入分子性质和动力学的描述
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:
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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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