Hemodynamics modeling with physics-informed neural networks: A progressive boundary complexity approach

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

Maziar Raissi, Paris Perdikaris, George Em Karniadakis · Journal of Computational Physics · 2018 · 16.9K citations · Full text

Natural Sciences, Computer Science, Physics +16

Hemodynamic Shear Stress and Its Role in Atherosclerosis

Adel M. Malek · JAMA · 1999 · 3.6K citations

Veterinary Medicine, Cardiology, Physiology +17

ASME International Mechanical Engineering Congress and Exposition

The Journal of the Acoustical Society of America · 2001 · 2.6K citations

Engineering, Aerospace Engineering, Mechanical Engineering +10

Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s Next

Salvatore Cuomo, Vincenzo Schiano Di Cola, Fabio Giampaolo et al. · Journal of Scientific Computing · 2022 · 2.3K citations · Full text

Computing, Computer Science, Physics +16

Hidden fluid mechanics: Learning velocity and pressure fields from flow visualizations

Maziar Raissi, Alireza Yazdani, George Em Karniadakis · Science · 2020 · 2K citations · Full text

Computing, Computer Science, Physics +16