کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5011318 1462589 2018 24 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A non-local structural derivative model for characterization of ultraslow diffusion in dense colloids
ترجمه فارسی عنوان
یک مدل مشتق ساختار غیر محلی برای مشخص کردن انتشار فراصوت در کلوئید های متراکم
کلمات کلیدی
انتشار فراوان، مشتق ساختمانی، تابع لگاریتمی کشیده شده، میانگین جابه جایی مربع،
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی مکانیک
چکیده انگلیسی
Ultraslow diffusion has been observed in numerous complicated systems. Its mean squared displacement (MSD) is not a power law function of time, but instead a logarithmic function, and in some cases grows even more slowly than the logarithmic rate. The distributed-order fractional diffusion equation model simply does not work for the general ultraslow diffusion. Recent study has used the local structural derivative to describe ultraslow diffusion dynamics by using the inverse Mittag-Leffler function as the structural function, in which the MSD is a function of inverse Mittag-Leffler function. In this study, a new stretched logarithmic diffusion law and its underlying non-local structural derivative diffusion model are proposed to characterize the ultraslow diffusion in aging dense colloidal glass at both the short and long waiting times. It is observed that the aging dynamics of dense colloids is a class of the stretched logarithmic ultraslow diffusion processes. Compared with the power, the logarithmic, and the inverse Mittag-Leffler diffusion laws, the stretched logarithmic diffusion law has better precision in fitting the MSD of the colloidal particles at high densities. The corresponding non-local structural derivative diffusion equation manifests clear physical mechanism, and its structural function is equivalent to the first-order derivative of the MSD.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Communications in Nonlinear Science and Numerical Simulation - Volume 56, March 2018, Pages 131-137
نویسندگان
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