Modelling of porous media for the simulation of batteries, catalytic reactors and CO2 storage
keywords ARTIFICIAL NEURAL NETWORK, BATTERY, CATALISYS, CO2, COMPUTATIONAL FLUID DYNAMICS, POROUS MEDIA
Reference persons ANTONIO BUFFO, DANIELE MARCHISIO
Research Groups AA - Multiscale modelling for materials science and process engineering
Thesis type MODELING AND SIMULATION
Description Porous media are involved in many engineering applications such as electrodes for electrochemical reactors (including batteries), traditional catalytic reactors and catalytic foams and in CO2 storage. Their simulation is veru useful to understand the role of the main phenomena involved and for the design, development and optimization of processes, devices and reactors. in this thesis computational fluid dynamics and neural networks are employed to investigate flow and transport in porous media for several applications, with particular focus on energy storage (e.g. batteries) and catalytic foam reactors.
Deadline 21/07/2023 PROPONI LA TUA CANDIDATURA