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From molecules to thermophysical properties: Applications of ab initio and molecular simulation methods.

机译:从分子到热物理性质:从头算和分子模拟方法的应用。

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The concept that the simple knowledge of the molecular structure is all the needed information to predict the behavior and equilibrium properties of any system is the philosophy of this dissertation. By combining computational chemistry tools, both ab initio methods and molecular simulations, a complete and rigorous description of molecular interactions are determined that lead to the understanding of molecular behavior and the prediction of the thermophysical properties from a small number or a large ensemble of molecules. All the studies presented here are founded on the framework of quantum chemistry to define, without any approximations, molecular interactions.; To demonstrate the usefulness of quantum chemistry and its combination with statistical mechanics for equilibrium properties predictions, three separate studies, but with the same underlying philosophy, are presented in this dissertation. The first is the use of quantum chemical methods to determine interaction energies between the like and unlike components in a molecular cluster, so these can the be used as parameters in excess free energy models. In the second study of this dissertation, ab initio pair potentials and molecular simulations are combined to determine their ability to predict phase equilibria properties. Ab initio potentials are obtained from the calculation of interaction energy for several hundreds of configurations between a pair of molecules, which are then used to develop a site-site pair potentials to describe the intermolecular interactions. In this dissertation, the ab initio pair potentials are used in Gibbs Ensemble Monte Carlo simulations to predict the phase behavior of pure components and a mixture. In the last part of this dissertation, the cooperativity effect in hydrogen-bonding systems is examined by quantum chemical means to obtain a quantitative description that clearly identifies the effects associated with this effect.; The studies reported in this dissertation show a few selected aspects of using computational chemistry, both quantum chemistry and molecular simulations, in areas of practical interest to engineers, chemists, and physicists. It is hoped that this work will lead to further engineering applications combining quantum chemistry and molecular simulations for better understanding of molecular interactions and predictions of macroscopic properties.
机译:分子结构的简单知识是预测任何系统的行为和平衡特性所需要的全部信息,这是本论文的哲学。通过结合计算化学工具,从头方法和分子模拟,确定了对分子相互作用的完整而严格的描述,从而导致人们对分子行为的理解和对少量热物理性质的预测。或大量的分子集合。这里介绍的所有研究都是建立在量子化学的框架上的,没有任何近似的定义分子间的相互作用。为了证明量子化学及其与统计力学相结合对平衡性质预测的有效性,本文提出了三项独立的研究,但具有相同的基本原理。首先是使用量子化学方法来确定分子簇中相似和不同成分之间的相互作用能,因此可以将它们用作过量自由能模型中的参数。在本文的第二项研究中,结合了从头算对势和分子模拟,以确定它们预测相平衡性质的能力。 Ab初始势是通过计算一对分子之间数百种构型的相互作用能而获得的,然后将其用于发展一个位点-位对势来描述分子间的相互作用。本文在Gibbs Ensemble Monte Carlo模拟中使用了从头算对电位来预测纯组分和混合物的相行为。在论文的最后部分,通过量子化学方法研究了氢键体系中的协同作用效应,从而获得了定量描述,清楚地表明了与该作用有关的效应。本论文报道的研究表明,在工程师,化学家和物理学家实际感兴趣的领域中,使用计算化学的一些选定方面,包括量子化学和分子模拟。希望这项工作将导致更多的工程应用结合量子化学和分子模拟,以更好地理解分子相互作用和宏观性能的预测。

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