Higashihiroshima, 739-0046
Japan
Hiroshima University
deep learning convolutional neural networks, fibrous filters, fluid-particle dynamics, Brownian collection efficiency, surrogate model prediction error
deep learning convolutional neural networks, fibrous filters, fluid-particle dynamics, Brownian collection efficiency, surrogate model uncertainty
sweep-gas membrane distillation, Computational Fluid Dynamics, experimental validation, performance optimization, Machine learning, ammonia recovery
Computational fluid dynamics, deep learning, fibrous filter, filter performance, particle dynamics, realistic microstructure
