Development of SAFT-Based Coarse-Grained Models of Carbon Dioxide and Nitrogen.

IF 2.8 2区 化学 Q3 CHEMISTRY, PHYSICAL
The Journal of Physical Chemistry B Pub Date : 2025-04-03 Epub Date: 2025-03-21 DOI:10.1021/acs.jpcb.5c00536
Alexandros Chremos, William P Krekelberg, Harold W Hatch, Daniel W Siderius, Nathan A Mahynski, Vincent K Shen
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引用次数: 0

Abstract

We develop coarse-grained models for carbon dioxide (CO2) and nitrogen (N2) that capture the vapor-liquid equilibria of both their single components and their binary mixtures over a wide range of temperatures and pressures. To achieve this, we used an equation of state (EoS), namely Statistical Associating Fluid Theory (SAFT), which utilizes a molecular-based algebraic description of the free energy of chain fluids. This significantly accelerates the exploration of the parameter space, enabling the development of coarse-grained models that provide an optimal description of the macroscopic experimental data. SAFT creates models of fluids by chaining together spheres, which represent coarse-grained parts of a molecule. The result is a series of fitted parameters, such as bead size, bond length, and interaction strengths, that seem amenable to molecular simulation. However, only a limited set of models can be directly implemented in a particle-based simulation; this is predominantly due to how SAFT handles overlap between bonded monomers with parameters that do not translate to physical features, such as bond length. To translate such parameters to bond lengths in a coarse-grained force-field, we performed Wang-Landau transition-matrix Monte Carlo (WL-TMMC) simulations in the grand canonical ensemble on homonuclear fused two-segment Mie models and evaluated the phase behavior at different bond lengths. In the spirit of the law of corresponding states, we found that a force field, which matches SAFT predictions, can be derived by rescaling length and energy scales based on ratios of critical point properties of simulations and experiments. The phase behavior of CO2 and N2 mixtures was also investigated. Overall, we found excellent agreement over a wide range of temperatures and pressures in pure components and mixtures, similar to TraPPE CO2 and N2 models. Our proposed approach is the first step to establishing a more robust bridge between SAFT and molecular simulation modeling.

基于saft的二氧化碳和氮粗粒度模型的建立。
我们为二氧化碳(CO2)和氮气(N2)开发了粗粒度模型,该模型捕获了它们的单组分和二元混合物在广泛的温度和压力范围内的汽液平衡。为了实现这一点,我们使用了状态方程(EoS),即统计关联流体理论(SAFT),它利用基于分子的链流体自由能代数描述。这大大加快了对参数空间的探索,使粗粒度模型的发展能够提供对宏观实验数据的最佳描述。SAFT通过将球体连接在一起来创建流体模型,球体代表分子的粗粒度部分。结果是一系列拟合的参数,如珠大小、键长和相互作用强度,似乎适合分子模拟。然而,只有一组有限的模型可以直接实现基于粒子的模拟;这主要是由于SAFT如何处理键合单体之间的重叠,这些参数不能转化为键长等物理特征。为了将这些参数转化为粗粒度力场中的键长,我们在同核融合两段Mie模型上进行了Wang-Landau过渡矩阵蒙特卡罗(WL-TMMC)模拟,并评估了不同键长下的相行为。在相应态定律的精神下,我们发现可以根据模拟和实验的临界点性质的比值,通过重新缩放长度和能量尺度来推导出符合SAFT预测的力场。研究了CO2和N2混合物的相行为。总的来说,我们发现在纯组分和混合物(类似于TraPPE CO2和N2模型)的广泛温度和压力范围内,我们的结果非常一致。我们提出的方法是在SAFT和分子模拟建模之间建立一个更强大的桥梁的第一步。
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来源期刊
CiteScore
5.80
自引率
9.10%
发文量
965
审稿时长
1.6 months
期刊介绍: An essential criterion for acceptance of research articles in the journal is that they provide new physical insight. Please refer to the New Physical Insights virtual issue on what constitutes new physical insight. Manuscripts that are essentially reporting data or applications of data are, in general, not suitable for publication in JPC B.
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