On the Physical Consistency of an Open Quantum Region with a Classical Reservoir in Molecular Simulation

IF 2.9 4区 工程技术 Q1 MULTIDISCIPLINARY SCIENCES
Sara Panahian Jand, Thomas D. Kühne, Luigi Delle Site
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引用次数: 0

Abstract

The possibility of treating a molecular liquid in an open region at ab initio electronic resolution embedded in a classical reservoir of energy and particles, is investigated. Because of its challenging properties and its relevance in many field of current research, the system chosen as prototype of molecular liquid is water at room conditions. A numerical protocol based on the mathematical model of open particle system is applied and the results are compared with results of a full ab initio simulation of reference. The key conclusion is that one can claim the existence of a mandatory minimal size of the quantum region in which structural and electronic properties reproduce those of reference and, at the same time, the exchange of molecules with the environment takes place as expected. This work provides a proof of concept about the possibility to systematically define a physically well founded open quantum system embedded in a classical environment. In turn, the proof of concept is a key information for the design of numerically efficient algorithms for ab initio molecular dynamics simulations of open systems.

Abstract Image

论分子模拟中开放量子区与经典储层的物理一致性
本研究探讨了以嵌入经典能量和粒子储层的原子电子分辨率处理开放区域分子液体的可能性。由于其具有挑战性的特性及其与当前许多研究领域的相关性,我们选择了室温条件下的水作为分子液体的原型。研究采用了基于开放粒子系统数学模型的数值协议,并将其结果与参考的完全 ab initio 模拟结果进行了比较。主要结论是,我们可以声称存在一个强制性的最小量子区域,在该区域中,结构和电子特性与参照物相同,同时,分子与环境的交换如预期般进行。这项工作提供了一个概念证明,即有可能系统地定义一个嵌入经典环境中的物理基础良好的开放量子系统。反过来,概念证明也是为开放系统的原子分子动力学模拟设计高效算法的关键信息。
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来源期刊
Advanced Theory and Simulations
Advanced Theory and Simulations Multidisciplinary-Multidisciplinary
CiteScore
5.50
自引率
3.00%
发文量
221
期刊介绍: Advanced Theory and Simulations is an interdisciplinary, international, English-language journal that publishes high-quality scientific results focusing on the development and application of theoretical methods, modeling and simulation approaches in all natural science and medicine areas, including: materials, chemistry, condensed matter physics engineering, energy life science, biology, medicine atmospheric/environmental science, climate science planetary science, astronomy, cosmology method development, numerical methods, statistics
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