We believe that this computational method not only predicts thermophoresis but also enables the estimation of thermophoretic mobility through comparisons with experimental results. Typically, measuring thermophoretic mobility or the Soret coefficient requires complex experimental setups and precise conditions. However, even through relatively standard observations of thermophoretic behavior, such as those demonstrated in this paper, it is possible to estimate DT(T) by using it as a parameter in simulations and comparing the results with experimental data.