A twin cell model for computation of glass transition temperature of quaternary thin film metallic glasses

We present a novel twin cell model to evaluate the effect of structure and composition on glass transition of Zr–Ti–Cu–Ni and Zr–Al–Cu–Ni quaternary thin film metallic glasses. Starting from Navier–Stokes equation the statistical average velocity was evaluated under the condition of ensemble equality. This was used to compute the diffusion lengths and the diffusion coefficients as a function of temperature, where from the glass transition temperature was estimated. An increasing Ni concentration was seen to lower the glass transition by up to 200 K, a trend substantiated by Johnsonʹs studies on the lowering of Laves phase with increasing Ni concentration.