BIOENGINEER

Fractional calculus and neural networks team up to model memory-driven fluid flow

Researchers derived analytical solutions for an unsteady magnetohydrodynamic Jeffrey fluid flow using a fractional operator ...
Phys.org

Improving fluid simulations with embedded neural networks

While neural networks can help to improve the accuracy of fluid flow simulations, new research shows how their accuracy is limited unless the right approach is taken. By embedding fluid properties ...
BIOENGINEER

Neural Network Learns to Predict Nanofluid Flow and Heat Transfer Over a Porous Wedge

A new modeling study combines a MATLAB boundary-value solver with a Levenberg–Marquardt artificial neural network to predict ...
EurekAlert!

A physics-informed neural network for fluid-structure coupled simulation of a euler-bernouli beam under steady flow

The study was conducted by a team led by Xiaofan Li from the University of Hong Kong, China. The researchers designed the framework to address a persistent challenge in fluid-structure interaction: ...
Medical Xpress

Deep sleep supports memory via brain fluid and neural rhythms, research finds

Researchers led by Masako Tamaki at the RIKEN Center for Brain Science in Japan report a link between deep sleep and cerebrospinal fluid, the clear liquid that surrounds and supports the brain and ...
EurekAlert!

Deep sleep supports memory via brain fluid and neural rhythms

MRI image of the brain with the lateral ventricles colored in blue. The ventricles are filled with cerebrospinal fluid. Researchers led by Masako Tamaki at the RIKEN Center for Brain Science in Japan ...