This section compares paths obtained by correlated FB-ENM (CFB-ENM), which refers to FB-ENM with added correlation terms, and the original FB-ENM. We employ the direct MaxFlux method 10 for reaction path optimization, using the same conditions as in ref 1. The initial path is a linear interpolation between reactant and product in Euclidean space, with 20 equidistant energy evaluation points, including endpoints. These energy evaluation points are not updated and remain fixed throughout the optimization. We iterate the stepwise update of β and additional optimization five times, as proposed in ref 1. Default parameters from our Python implementation 15 are used, except for relaxing the IPOPT 23,24 convergence condition dual inf tol to 0.1. CFB-ENM is implemented as an ASE Calculator class, integrated into our Python implementation of the direct MaxFlux method. We also implemented an automated routine for generating paths using CFB-ENM.