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First principles Monte Carlo simulations of aggregation in the vapor phase of hydrogen fluoride

机译:氟化氢气相聚集的基本原理蒙特卡洛模拟

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The aggregation of hydrogen fluoride vapor is explored through the use of Monte Carlo simulations employing Kohn-Sham density functional theory with the exchange/correlation functional of Becke-Lee-Yang-Parr to describe the molecular interactions. Canonical ensemble simulations sampling the classical phase space were carried out for a system consisting of ten molecules at constant density (2700 A~3/molecule) and at three different temperatures (T = 310, 350, and 390 K). Aggregation-volume-bias and configurational-bias Monte Carlo approaches (along with pre-sampling with an approximate potential) were employed to increase the sampling efficiency of cluster formation and destruction. A hydrogen-bond analysis shows that about two thirds of the HF molecules are part of small aggregates at 310 K, whereas only about 10% of the molecules are clustered at 390 K. As for other hydrogen-bonding systems, the size distribution exhibits some sensitivity to the criteria used to define a hydrogen bond, but the qualitative features are not affected by these differences. From the temperature dependence of the equilibrium constants, the dimer and trimer aggregation energies (not corrected for nuclear quantum effects) are estimated using a simple distance-based hydrogen-bonding criterion as -13 ± 3 and -65 ± 16 kJ mol~(-1), respectively, whereas these binding energies are found to be somewhat different for a combined distance-angular criterion with values of -17 ± 6 and -63 ± 11 kJ mol~(-1), respectively. The strictness of the hydrogen-bonding criterion plays a significant role for the assignment of clusters to linear, cyclic, and branched architectures with the fraction of the latter being drastically reduced for the distance-angular criterion. The average molecular dipole moment increases from 1.85 Debye for isolated molecules to about 2.0 D for dimers to about 2.75 D for larger aggregates, and the H-F bond length shows a concomitant, but smaller increase from about 0.94 to 0.98 A.
机译:通过使用采用Kohn-Sham密度泛函理论和Becke-Lee-Yang-Parr的交换/相关函数描述分子相互作用的Monte Carlo模拟,探索氟化氢蒸气的聚集。对包含十个恒定密度(2700 A〜3 /分子)和三个不同温度(T = 310、350和390 K)的分子组成的系统进行了经典集合空间的典范整体模拟。聚集体积偏差和配置偏差蒙特卡洛方法(以及具有近似势能的预采样)被用来提高簇形成和破坏的采样效率。氢键分析表明,大约三分之二的HF分子在310 K时是小的聚集体的一部分,而只有大约10%的分子在390 K时成簇。对于其他氢键系统,尺寸分布表现出一些对用于定义氢键的标准的敏感性,但定性特征不受这些差异的影响。根据平衡常数的温度依赖性,使用简单的基于距离的氢键准则(-13±3和-65±16 kJ mol〜(-),估算二聚体和三聚体的聚集能(未经核量子效应校正)。 1),而对于结合的距离角准则,这些结合能有所不同,分别为-17±6和-63±11 kJ mol〜(-1)。氢键合标准的严格性对于将簇分配给线性,环状和支链结构起着重要作用,对于距离角标准,后者的比例大大降低。平均分子偶极矩从分离的分子的1.85德拜增加到二聚体的约2.0 D,对于较大的聚集体增加到约2.75 D,并且H-F键长度显示出相应的但较小的增加,从约0.94到0.98 A.

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