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       Multiphase reactors are widely used in the chemical industry, energy, metallurgy, and other industrial applications. To overcome limitations related to the design, optimization, and scale-up of multiphase reactors, it is very important to accurately simulate the complex multiphase flows, which involve multiscale multiphase hydrodynamics, simultaneous heat/mass transfer, and chemical reactions.

      We aim to (1) understand the multi-scale physical and chemical phenomena such as multiphase flow, heat and mass transfer, chemical reaction, external fields (light, magnetism, etc.) in the multiphase chemical reactors, and their coupling mechanism, (2) construct multi-scale mathematical models or machine-learning (ML) assisted models to simulate the complex multiphase chemical reactor and develop accurate and efficient multiphase computational fluid dynamics (CFD) solver to simulate large-scale industrial reactors.

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