Relatori

5 lectures on: Statistical and stochastic methods in multiphase flows, compressible multiphase flows, filtering of Euler-Lagrangian simulations, numerical implementation of Euler-Lagrange methods.

5 lectures on: Introduction artificial intelligence (AI) methods; AI for large-scale gas-solid flow simulations; training process of neural networks; predictive capabilities of AI; how AI can be leveraged to enhance coarse-grained gas-solid flow simulati

5 lectures on: Models for multiphase flows, especially fluid-particle flow; physics of Euler-Lagrangian, Euler-Euler approaches and hybrid methods such as continuous particle models (CPM) or Multi-Phase Particle-In-Cell methods (MP-PIC).

5 lectures on: History of filtered models and their connection to turbulence modeling; innovative approaches for closing the filtered drag force, e.g., solid-phase variance-based methods; limitations of high-performance computing; use of particle-resolve

5 lectures on:Coarse-grained models for Euler-Lagrangian methods including, drag force, stress, heat and mass transfer, wall effects, as well as radiation; applications of coarse-grained models to granular flows and high temperature applications.

5 lectures on: Derivation of filtered models; overview of various closure models; these include functional, structural (deconvolution), and empirical models; filtered heat and mass transfer models for Euler-Euler methods; practical training.