MD simulations can predict stationary and dynamic correlations, allowing for direct comparison to experimental data. However, a significant limitation of MD arises due to the strong metastability of many molecular systems, which can trap them in a single conformational basin for an extended amount of time ; ; . This limitation undermines quantitative comparisons to experiments because statistical sampling comes at a high computational cost. To address this issue, there has been intense research aimed at developing faster algorithms for sampling highly metastable systems at a lower computational cost .