Mohammadamin Mahmoudabadbozchelou

nn-PINNs: Non-Newtonian physics-informed neural networks for complex fluid modeling

Mohammadamin Mahmoudabadbozchelou, George Em Karniadakis, Safa Jamali · Soft Matter · 2021 · 107 citations · Full text

Engineering, Physics, Fluid-structure Interaction +15

Data-driven physics-informed constitutive metamodeling of complex fluids: A multifidelity neural network (MFNN) framework

Mohammadamin Mahmoudabadbozchelou, Marco Caggioni, Setareh Shahsavari et al. · Journal of Rheology · 2021 · 88 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +23

Rheology-Informed Neural Networks (RhINNs) for forward and inverse metamodelling of complex fluids

Mohammadamin Mahmoudabadbozchelou, Safa Jamali · Scientific Reports · 2021 · 60 citations · Full text

Digital rheometer twins: Learning the hidden rheology of complex fluids through rheology-informed graph neural networks

Mohammadamin Mahmoudabadbozchelou, Krutarth M. Kamani, Simon A. Rogers et al. · Proceedings of the National Academy of Sciences · 2022 · 36 citations · Full text

Heat transfer optimization of twin turbulent sweeping impinging jets

Mohammadamin Mahmoudabadbozchelou, Hossein Afshin · International Journal of Thermal Sciences · 2019 · 34 citations

Heat Transfer Process, Engineering, Turbulent Flow Heat Transfer +6