Revolutionizing Simulation: Real-Time Engineering and Optimization through Deep Learning

This chapter explores the cutting-edge advancements in neural discrete element methods (DEM) for simulation in computational fluid dynamics. It highlights the transformative potential of deep learning models in enhancing real-time engineering and optimization processes.