Pure Compound Self-Diffusivity Correlation With Residual Entropy

IF 2 3区 工程技术 Q3 CHEMISTRY, MULTIDISCIPLINARY Journal of Chemical & Engineering Data Pub Date : 2024-03-19 DOI:10.1021/acs.jced.4c00033
J. Richard Elliott
{"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.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
纯化合物自扩散率与残余熵的相关性
文献中提出了两种以残余熵表示的自扩散模型。本文通过合并这两种模型的各个方面,提出了一种广义的残差熵模型。该广义模型可以在最小化每个模型相对于实验数据的偏差时,通过探测相关项的重要性来推断交互作用和比例效应。因此,通过对 13 种正构烷烃进行 688 次实验测量,发现残余熵和温度之间的相互作用效应可以忽略不计。同样,缩放分析也不赞成 "Rosenfeld "缩放。相反,Dzugutov 提出的比例更受青睐。在实施这两项简化的同时,缩小的 3 参数模型与之前的 6 参数模型相比,精度有所提高。另一方面,与之前提出的 2 参数自扩散模型进行比较后发现,2 参数模型的精度实际上与 3 参数模型相当。2 参数模型没有采用残余熵原理。相反,它采用了一种相应状态方法,即对伦纳德-琼斯模型势的自扩散性拟合一个模型,并将伦纳德-琼斯参数视为可调参数。通过考虑相对于参数数量的精确度,2 参数模型和 3 参数模型被认为同样可以接受。2 参数模型的均方根对数偏差为 7.5%,而 3 参数模型为 6.9%,6 参数模型为 10.2%。所有评估都使用了一个开源数据库,其中包含 34 种化合物在 1685 个状态点的实验测量结果。这里的分析仅限于非关联化合物。所有三种模型的平均百分比误差均小于 5%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Chemical & Engineering Data
Journal of Chemical & Engineering Data 工程技术-工程:化工
CiteScore
5.20
自引率
19.20%
发文量
324
审稿时长
2.2 months
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.
期刊最新文献
Determination and Correlation of the Solubility of Potassium Fluoride in Eight Single Solvents and Four Binary Solvent Mixtures at Different Temperatures Densities, Viscosities, and Self-Diffusion Coefficients of Octan-1-ol and Related Ether-Alcohols Effect of Salts, Impurities, and Low Water Contents in the Formation of Gas Hydrates in CO2-Rich Streams Investigating the Influence of Cosolvents on the Solubility of Febuxostat in Supercritical CO2: Experimental Analysis and Artificial Intelligence Study Volumetric and Ultrasonic Studies on Interactions of 2-Methoxyethanol/2-Ethoxyethanol in Aqueous Solutions of Inositol at Different Temperatures
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1