(361e) Neural-Network Incorporated CFD Models for Adsorption Simulation on Complex Material

Material screening is a time consuming task considering so many potential components of chemical material. it usually takes months to decide which material can be acceptable. Here we report the application of neural network incorporated CFD models for the correlation and prediction of asymmetric breakthrough curves obtained from ammonia adsorption on complex materials.