We are an academic research group in Politecnico di Torino, and our main focus is the development of computational models based on computational fluid dynamics, discrete element method, population balance, coarse-grained molecular dynamics to simulate chemical processes and transport phenomena. We also couple and augment these models with machine learning techniques, from simple to multi-scale deep neural networks. The focus is on multiphase chemical reactors, such as packed-bed catalytic reactors, filters, bubble columns, liquid-liquid reactors. The applications are very wide: food engineering (e.g. food emulsions and foams), crystallization for inorganic and organic materials, pharmaceutical engineering, biological processes, formulation engineering, aerosol dispersion, and so on.

MulMoPro

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MulMoPro

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