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

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

(2018) M. Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Data-driven discovery of partial differential equations

(2017) Samuel H. Rudy et al.   Science Advances

On the Correlation of Parity and Small-Depth Circuits

(2014) Johan Håstad   SIAM JOURNAL ON COMPUTING

A convergence study of a new partitioned fluid–structure interaction algorithm based on fictitious mass and damping

(2011) Hyoungsu Baek et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Coronary Atherosclerosis Imaging by Coronary CT Angiography

(2011) Szilard Voros et al.   JACC-Cardiovascular Imaging

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Phase-contrast magnetic resonance imaging measurements in intracranial aneurysms in vivo of flow patterns, velocity fields, and wall shear stress: Comparison with computational fluid dynamics

(2009) Loic Boussel et al.   MAGNETIC RESONANCE IN MEDICINE

Outflow Boundary Conditions for Arterial Networks with Multiple Outlets

(2008) Leopold Grinberg et al.   ANNALS OF BIOMEDICAL ENGINEERING

Planar laser induced fluorescence in aqueous flows

(2008) J. P. Crimaldi   EXPERIMENTS IN FLUIDS