Researchers modeled the momentum and thermal transport of a five-nanoparticle fluid along a vertically stretched surface ...

Researchers used numerical shooting methods and artificial neural networks to accurately predict heat transfer, fluid flow, and entropy generation in reactive tetra-hybrid nanofluids.

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 ...

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: ...

Nearly 200 years ago, the physicists Claude-Louis Navier and George Gabriel Stokes put the finishing touches on a set of equations that describe how fluids swirl. And for nearly 200 years, the ...

An MIT spinoff co-founded by robotics luminary Daniela Rus aims to build general-purpose AI systems powered by a relatively new type of AI model called a liquid neural network. The spinoff, aptly ...