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Molecular Simulation of Chemical Reaction Equilibriumby Computationally Efficient Free Energy Minimization

机译:化学反应平衡的分子模拟通过计算有效的自由能最小化

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摘要

The molecular simulation of chemical reaction equilibrium (CRE) is a challenging and important problem of broad applicability in chemistry and chemical engineering. The primary molecular-based approach for solving this problem has been the reaction ensemble Monte Carlo (REMC) algorithm [Turner et al. Molec. Simulation 2008, 34, (2), 119−146 []], based on classical force-field methodology. In spite of the vast improvements in computer hardware and software since its original development almost 25 years ago, its more widespread application is impeded by its computational inefficiency. A fundamental problem is that its MC basis inhibits the implementation of significant parallelization, and its successful implementation often requires system-specific tailoring and the incorporation of special MC approaches such as replica exchange, expanded ensemble, umbrella sampling, configurational bias, and continuous fractional component methodologies. We describe herein a novel CRE algorithm (reaction ensemble molecular dynamics, ReMD) that exploits modern computer hardware and software capabilities, and which can be straightforwardly implemented for systems of arbitrary size andcomplexity by exploiting the parallel computing methodology incorporatedwithin many MD software packages (herein, we use GROMACS for illustrativepurposes). The ReMD algorithm utilizes these features in the contextof a macroscopically inspired and generally applicable free energyminimization approach based on the iterative approximation of thesystem Gibbs free energy function by a mathematically simple convexideal solution model using the composition at each iteration as areference state. Finally, we additionally describe a simple and computationallyefficient a posteriori method to estimate the equilibriumconcentrations of species present in very small amounts relative toothers in the primary calculation. To demonstrate the algorithm, weshow its application to two classic example systems considered previouslyin the literature: the N2–O2–NOsystem and the ammonia synthesis system.
机译:化学反应平衡(CRE)的分子模拟是在化学和化学工程中广泛应用的一个充满挑战的重要问题。解决此问题的主要基于分子的方法是反应集成蒙特卡罗(REMC)算法[Turner等。 Molec。 Simulation 2008,34,(2),119−146 [],基于经典力场方法。尽管自从将近25年前最初的开发以来,计算机硬件和软件有了巨大的改进,但由于计算效率低,阻碍了其更广泛的应用。一个基本问题是它的MC基础妨碍了显着并行化的实现,并且其成功实现通常需要针对特定​​系统进行定制,并且需要合并特殊的MC方法,例如副本交换,扩展集合,伞状抽样,配置偏差和连续小数部分方法论。我们在这里描述了一种新颖的CRE算法(反应整体分子动力学,ReMD),它利用了现代计算机的硬件和软件功能,并且可以直接用于任意大小和大小的系统。利用并入的并行计算方法来提高复杂性在许多MD软件包中(此处,我们使用GROMACS作为示例目的)。 ReMD算法在上下文中利用了这些功能宏观启发和普遍适用的自由能基于迭代逼近的最小化方法吉布斯自由能函数的数学简单凸。理想解决方案模型,将每次迭代时的成分用作参考状态。最后,我们另外描述一个简单的计算有效的后验方法来估计平衡相对于其他人在主要计算中。为了演示算法,我们展示其在先前考虑的两个经典示例系统中的应用在文献中:N2-O2-NO系统和氨合成系统。

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