most citedDiscrete Element Simulations and Machine Learning for Improving the Performance of Dry Catalyst Continuous Impregnation Processes

1 citations · 1 across the 1 of their papers we have counts for

collaborators

1 paper

physics.app-ph2022★ 1 cited

Discrete Element Simulations and Machine Learning for Improving the Performance of Dry Catalyst Continuous Impregnation Processes

Joseph Shovlin, Kuang Liu, Yangyang Shen +3

In this work, discrete element method (DEM) simulations coupled with machine learning are used to study the process of dry impregnation. Our results show that the particle bed cont…