Abstract
This paper introduces a power series framework for modeling chemical reaction rates, offering a mathematically flexible and physically interpretable alternative to traditional power-law models. By expressing reaction rates as multivariate power series of reactant concentrations, this approach captures the contributions of multi-molecular interactions and synergistic effects, which are often neglected in conventional models.