The study demonstrates a novel power-series model for reaction rates, highlighting the significance of multivariate interactions.
This paper presents a power series framework for modeling chemical reaction rates, offering a mathematically flexible and physically interpretable alternative to traditional power-law models. By expressing rates as multivariate power series of reactant concentrations, the model captures multi-molecular interactions and synergistic effects often neglected in conventional kinetics. The formulation can also be expressed in an operator form, providing a concise representation that naturally connects to the power-series expansion and its underlying physical interpretation.
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Jia Qiu (2025) studied this question.
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