Our site saves small pieces of text information (cookies) on your device in order to deliver better content and for statistical purposes. You can disable the usage of cookies by changing the settings of your browser. By browsing our site without changing the browser settings you grant us permission to store that information on your device.
A. M. VORA1,*
The electrical resistivity (ρ L ) of Li-based liquid binary mixtures viz. Li1-XNaX, Li1-XMgX, Li1-XInX and Li1-XTlX has been studied by model potential formation. The most recent local field correction functions due to Farid et al. and Sarkar et al. are used in the present computations. The values of the electrical resistivity (ρ L ) obtained by Farid et al. local field correction function are higher than those obtained by Hartree and Sarkar et al. local field correction functions. The computed values describe reasonably the experimental data.
Model potential, Electrical resistivity, Li-based binary mixtures.
A. M. VORA, Electrical resistivity of Li-based liquid binary mixtures, Optoelectronics and Advanced Materials - Rapid Communications, 1, 5, May 2007, pp.227-230 (2007).
Submitted at: March 20, 2007
Accepted at: April 5, 2007
Optoelectronics and Advanced Materials - Rapid Communications
(2024): Impact Factor = 0.4 - Journal Citation Reports (Clarivate Analytics, 2025)
Active accounts were imported to the new platform and assigned a random password by default. In order to access your account you need to access the login page and go through the Lost Password dialog (involves the system sending you an email with instructions) in order to reset your password. This step is necessary as passwords are kept in hashed form and the new platform uses modern hashing algorithms incompatible with the previous ones.