چاپ صفحه |  صفحه نخست سامانه |  چکیده مقاله |  نویسندگان |  دانلود مقاله | دانشگاه علوم پزشکی تبریز |
| To present comprehensive models for density prediction of the binary mixtures of ionic liquids (ILs), the density data for 193 sets of ionic liquid + molecular solvents were collected from the literature and were analysed by Jouyban-Acree and Jouyban-Acree-van’t Hoff and their combined version with Abraham solvation parameters. To check the capability of the trained models for density prediction, the ‘leave many out’ cross-validation method was used and the obtained overall % ARD were 3.7, 8.7, 4.1 and 8.5 for Jouyban-Acree, Jouyban-Acree-van’t Hoff, Jouyban-Acree–Abraham and Jouyban-Acree-van’t Hoff-Abraham models, respectively. It was concluded that all predictive models have the excellent accuracy for density prediction of the studied mixtures but the Jouyban-Acree and Jouyban-Acree-Abraham with lower %ARD are better than other models. However, the Jouyban-Acree-van’t Hoff– Abraham models may be preferred due to the lack of necessity of density data for components 1 and 2. |
| نویسنده | نفر چندم مقاله |
|---|---|
| ابوالقاسم جویبان | اول |
| سیده نرجس میرحیدری | دوم |
| محمد برزگر جلالی | سوم |
| نام فایل | تاریخ درج فایل | اندازه فایل | دانلود |
|---|---|---|---|
| Phys Chem Liq 58 (2020) 309-324.pdf | 1399/04/04 | 1825877 | دانلود |
