We investigate the effects of stirring on the kinetics of the A 1 B ! 0 reaction under stoichiometrical conditions in 2D. We consider both a steady eddy-lattice flow and a random flow mimicking turbulence. In both situations complex decay patterns are detected. Only Chemical processes often depend on stirring to homogenize the reactants [1][2][3]. In fact, due to the sensitivity of the reactions on the mixing procedure, qualitatively different kinetic patterns show up [3]. This is especially important for reactions leading to segregation. In the present Letter we consider the kinetics of the A 1 B ! 0 reaction under stoichiometrical conditions, taking place under twodimensional model flows.As is by now well known, under diffusion the average concentration c͑t͒ of (stoichiometric) reactants follows d dimensions a power law c͑t͒ ϳ ͑Dt͒ 2d͞4 (where d # 4) [4-10], which is slower than the classical kinetics form c͑t͒~t 21 . The classical form is obeyed when the concentrations are homogeneous at all times, which can be achieved through efficient procedures such as mixing by dilatational flow [11], tossing [12], or unbounded shear flow [13][14][15]. In general realistic mixing flows, especially in two dimensions, are less effective [1]. We display this here by considering two flow patterns, one related to Rayleigh-Bénard convection [16] (a steady twodimensional lattice of eddies), the other one being a random flow, which mimics turbulent stirring. A variety of-rather unexpected-kinetic regimes appears.We describe the system in terms of reaction-diffusionadvection equations for the local densities c A,B ͑r, t͒,andThis is the standard approximate scheme [17][18][19] where k denotes the local reaction rate coefficient and D the molecular diffusivity. The scheme is qualitatively correct in higher dimensions for the reactants passively transported by the flow. The continuous-medium approach, Eqs. (1) and (2), is valid then on length scales much larger than the mean interparticle distance and supposes that the velocity does not change considerably on these scales. In our numerical work here, which parallels Ref.[9], we use D D A D B 0.1 and k 10 and monitor c͑t͒, the mean concentration c͑t͒ ͗c A ͑r, t͒͘ ͗c B ͑r, t͒͘. The initial conditions correspond to random distributions of reactants with c͑0͒ 1. The incompressible velocity field v is given through the stream function h͑x, y͒ via v͑r͒ ͑2≠h͞≠y, ≠h͞≠x͒ .The stationary eddy-lattice flow is modeled using h͑x, y͒ ͑2Lu 0 ͞np͒ cos͑npx͞L͒ cos͑npy͞L͒ , (4) while for the "synthetic" time-dependent turbulent flow we take h͑x, y, t͒ to be a Gaussian random process in space and time, whose correlation functions are chosen to reproduce closely the realistic properties of turbulent flows. This pragmatic point of view allows us to display the role of generic effects of turbulence on chemical reactions.