{"title":"Pure Compound Self-Diffusivity Correlation With Residual Entropy","authors":"J. Richard Elliott","doi":"10.1021/acs.jced.4c00033","DOIUrl":null,"url":null,"abstract":"Two models of self-diffusivity in terms residual entropy have been proposed in the literature. A generalized residual entropy model is proposed here by merging aspects of these two models. The generalized model enables inference of interaction and scaling effects by probing the significance of related terms when minimizing deviations of each model relative to experimental data. As a result, the interaction effect between residual entropy and temperature is found to be negligible using a database of 688 experimental measurements for 13 <i>n-</i>alkanes. Similarly, scaling analysis disfavors the “Rosenfeld” scaling. Instead, the scaling proposed by Dzugutov is favored. While implementing these two simplifications, the reduced 3-parameter model is shown to provide improved accuracy relative to the previous 6-parameter model. On the other hand, comparison to a previously proposed 2-parameter self-diffusivity model shows that the 2-parameter model provides practically the equivalent accuracy to the 3-parameter model. The 2-parameter model does not apply the principle of residual entropy. Instead, it applies a corresponding states approach, where a model is fit to the self-diffusivity of the Lennard-Jones model potential and Lennard-Jones parameters are treated as adjustable parameters. By considering accuracy relative to the number of parameters, the 2-parameter and 3-parameter models are deemed equally acceptable. The root-mean-square logarithmic deviation for the 2-parameter model is 7.5% compared to 6.9% for the 3-parameter model and 10.2% for the 6-parameter model. An open-source database of experimental measurements for 34 compounds at 1685 state points is used in all evaluations. The analysis here is limited to nonassociating compounds. The mean average percentage error was less than 5% for all three models.","PeriodicalId":42,"journal":{"name":"Journal of Chemical & Engineering Data","volume":null,"pages":null},"PeriodicalIF":2.0000,"publicationDate":"2024-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Chemical & Engineering Data","FirstCategoryId":"1","ListUrlMain":"https://doi.org/10.1021/acs.jced.4c00033","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Two models of self-diffusivity in terms residual entropy have been proposed in the literature. A generalized residual entropy model is proposed here by merging aspects of these two models. The generalized model enables inference of interaction and scaling effects by probing the significance of related terms when minimizing deviations of each model relative to experimental data. As a result, the interaction effect between residual entropy and temperature is found to be negligible using a database of 688 experimental measurements for 13 n-alkanes. Similarly, scaling analysis disfavors the “Rosenfeld” scaling. Instead, the scaling proposed by Dzugutov is favored. While implementing these two simplifications, the reduced 3-parameter model is shown to provide improved accuracy relative to the previous 6-parameter model. On the other hand, comparison to a previously proposed 2-parameter self-diffusivity model shows that the 2-parameter model provides practically the equivalent accuracy to the 3-parameter model. The 2-parameter model does not apply the principle of residual entropy. Instead, it applies a corresponding states approach, where a model is fit to the self-diffusivity of the Lennard-Jones model potential and Lennard-Jones parameters are treated as adjustable parameters. By considering accuracy relative to the number of parameters, the 2-parameter and 3-parameter models are deemed equally acceptable. The root-mean-square logarithmic deviation for the 2-parameter model is 7.5% compared to 6.9% for the 3-parameter model and 10.2% for the 6-parameter model. An open-source database of experimental measurements for 34 compounds at 1685 state points is used in all evaluations. The analysis here is limited to nonassociating compounds. The mean average percentage error was less than 5% for all three models.
期刊介绍:
The Journal of Chemical & Engineering Data is a monthly journal devoted to the publication of data obtained from both experiment and computation, which are viewed as complementary. It is the only American Chemical Society journal primarily concerned with articles containing data on the phase behavior and the physical, thermodynamic, and transport properties of well-defined materials, including complex mixtures of known compositions. While environmental and biological samples are of interest, their compositions must be known and reproducible. As a result, adsorption on natural product materials does not generally fit within the scope of Journal of Chemical & Engineering Data.