MulMoPro

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.