Radial distribution function within the third version of the Tsallis statistical mechanics

Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:

Nowadays, a variety of physical systems have been known whose thermodynamic behavior, due to non-extensive effects, is not explicable by the common Boltzmann-Gibbs (BG) statistical mechanics. Thus, the correction of the BG entropy seems to be essential. In this regard, an efficient extension has been promoted by Tsallis, which is based on a generalized entropic form. In this study, a new equation is derived for the Radial Distribution Function (RDF) by taking into account the third version of the Tsallis statistics. To this end, probability distribution function is applied within the third version of the Tsallis statistics. Moreover, a closed formula is proposed for RDF. The momenta and the coordinates are independent in this equation. The effect of the non-extensivity parameter, q, on the RDF of a Lennard-Jones fluid, was investigated. At low densities, the results of the numerical calculations performed for RDF indicated that, the correlation increases with an increase in the values of q. Increase of the non-extensivity parameter and that of  has similar effects.

Language:
Persian
Published:
Journal of Modern Research physics, Volume:5 Issue: 1, 2021
Pages:
27 to 48
https://magiran.com/p2320218  
دانلود و مطالعه متن این مقاله با یکی از روشهای زیر امکان پذیر است:
اشتراک شخصی
با عضویت و پرداخت آنلاین حق اشتراک یک‌ساله به مبلغ 1,390,000ريال می‌توانید 70 عنوان مطلب دانلود کنید!
اشتراک سازمانی
به کتابخانه دانشگاه یا محل کار خود پیشنهاد کنید تا اشتراک سازمانی این پایگاه را برای دسترسی نامحدود همه کاربران به متن مطالب تهیه نمایند!
توجه!
  • حق عضویت دریافتی صرف حمایت از نشریات عضو و نگهداری، تکمیل و توسعه مگیران می‌شود.
  • پرداخت حق اشتراک و دانلود مقالات اجازه بازنشر آن در سایر رسانه‌های چاپی و دیجیتال را به کاربر نمی‌دهد.
In order to view content subscription is required

Personal subscription
Subscribe magiran.com for 70 € euros via PayPal and download 70 articles during a year.
Organization subscription
Please contact us to subscribe your university or library for unlimited access!