Mixing Things Up: Optimizing Fluid Mixing with Machine Learning

Fluid mixing processes at industrial scales can be energy-consuming and costly if not optimized. However, the process is usually guided through trial-and-error. Now, researchers from Japan make use of machine learning to solve the optimization problem of fluid mixing, revealing insights that highlight the method’s potential for application in industrial fluid mixing processes.

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Tokyo University of Science

Tokyo University of Science

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Tokyo University of Science (TUS) is one of the most well-known, respected, and the largest science-specialized private research universities in Japan.