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Fluid mixing optimization with reinforcement learning - Scientific Reports
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Fluid mixing is crucial in various industrial processes. In this study, focusing on the characteristics that reinforcement learning (RL) is suitable for global-in-time optimization, we propose utilizing RL for fluid mixing optimization of passive scalar fields. For the two-dimensional fluid mixing problem described by the advection–diffusion equations, a trained mixer realizes an exponentially fast mixing without any prior knowledge.
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