Extracting kinetic and mechanistic insights is often subjected to assumptions such as low residence times in the transition states regions, quasistationarity characteristics of metaD, construction of a master equation for non-Arrhenius and multistate kinetics, and usage of Kramers' rate theory in the overdamped regime. On the other hand, several path sampling methods exist for an extensive sampling of kinetic properties, which are broadly divided into complete path sampling and segment-based sampling. Transition path sampling (TPS) and dynamic importance sampling (DIMS) are based on complete reactant to product path sampling. Segment-based sampling approaches are based on splitting the reactant to product path into several segments or "bins" where bin-to-bin transitions are sampled by running independent MD simulations of fixed duration within these bins. These methods include and are not limited to weighted ensemble (WE) methodology, milestoning approaches, adaptive multilevel splitting (AMS), and transition interface sampling (TIS). These path sampling methods typically focus on sampling the transition regions, and thereby, an entire PES of the system is often neglected. The WE method enhances the sampling of rare events by running independent and unbiased parallel simulations in short configurational spaces or "bins". These simulations communicate through each other through replication and resampling, leading to the precise estimation of kinetic observables. The WE method is further explained in the section 2.2.