Quantum field theory approach for multistage chemical kinetics in liquids
Roman V. Li, Oleg A. Igoshin, Eugine B. Krissinel, Pavel A. Frantsuzov
TL;DR
The paper tackles the breakdown of mass-action kinetics in diffusion-influenced multistage reactions due to microscopic spatial correlations. It develops CMET, a complete modified encounter theory derived from a second-quantization quantum-field-theory framework, yielding coupled differential equations for concentrations $C_i(\mathbf r,t)$ and pair distributions $p_{ij}(\mathbf r_1,\mathbf r_2,t)$ that incorporate environment-induced correlations beyond prior theories. CMET reproduces known kinetic regimes and exact long-time fluctuation asymptotics (e.g., $t^{-3/2}$) for both irreversible and reversible multistage networks, as demonstrated across multiple case studies including geminate recombination and $A+B\leftrightarrow C+D$. The approach provides a robust, computationally efficient first-principles framework for modeling complex reaction-diffusion systems in liquids and is complemented by the public Tegro software for practical kinetic modeling.
Abstract
Reaction-diffusion processes play an important role in a variety of physical, chemical, and biological systems. Conventionally, the kinetics of these processes are described by the law of mass action. However, there are various cases where these equations are insufficient. A fundamental challenge lies in accurately accounting for the microscopic correlations that inevitably arise in bimolecular reactions. While approaches to describe microscopic correlations in many specific cases exist, no general theory for multistage reactions has been established. In this article, we apply the quantum field theory approach to derive kinetic equations for general multistage reactive systems termed CMET (complete modified encounter theory). CMET can be formulated as a set of coupled partial differential equations that can be easily integrated numerically, thereby serving as a versatile tool for investigating reaction-diffusion processes. Across multiple case studies, we demonstrated that CMET reproduces the kinetics predicted by many other theories within their respective scopes of applicability.
