We show that by shifting the temperature of the simulations by the exact T g difference, one can obtain a better fit to experiments. However, performing experimental measurements of the glass transition temperature is an expensive undertaking, especially when researching novel polymers. We investigated whether shifting simulation temperature by a constant average offset of 50 K also improves the fit to experiments. This temperature is chosen as the temperature that matches the results from Afzal et al. in our T g range as well as the results obtained in this work. Figure (a) shows a table comparing the performance indicators for simulations at T exp and simulations at T exp+50 , and the average change in results. Improvements to the metric are colored green. We observed an almost 30% increase in Spearman rank correlation coefficient and more than 33% decrease in the mean absolute error, as well as almost a 5% increase in the Pearson rank correlation. Although all three metrics are important, we prioritized the Spearman rank correlation for high-throughput screening applications because the focus is on ranking novel polymers.