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Rheology-Informed Neural Networks for complex fluids

INV-21050 Background Many complex and structured fluids exhibit a wide range of rheological responses to different flow characteristics. The ability to predict this complex rheological behavior is essential in better understanding and designing these complex fluids and their processing conditions. Despite the increasing trend in using artificial...

Published: 1/27/2025 | Updated: 3/21/2024 | Inventor(s): Mohammadamin Mahmoudabadbozchelou, Safa Jamali

Keywords(s): 3D Printer, Adaptive, Artificial intelligence, Biotech, Computational Modeling, Deep learning, Fabrication, Machine Learning, Manufacturing, Materials, Oil/petroleum, Process Engineering

Category(s): -Oil and Gas, Technology Classifications > 3. Computer Science, Technology Classifications > 2. Physical Science, Technology Classifications > 3. Computer Science > AI, Technology Classifications > 3. Computer Science > Neural Networks