Activation energy and Coriolis force impact on three-dimensional dusty nanofluid flow containing gyrotactic microorganisms: Machine learning and numerical approach

Activation energy and Coriolis force impact on three-dimensional dusty nanofluid flow containing gyrotactic microorganisms: Machine learning and numerical approach

In recent times, machine learning methods have become powerful tools for solving complex problems, optimizing processes, and extracting insights from large datasets, especially in fluid dynamics. This study examines the effects of thermophoresis, Brownian motion, thermal radiation, and a non-uniform...

Full description

Saved in:
Bibliographic Details
Main Authors: Jakeer Shaik, Reddy Seethi Reddy Reddisekhar, Thameem Basha Hayath, Cho Jaehyuk, Sathishkumar Veerappampalayam Easwaramoorthy
Format: Article
Language:English
Published: De Gruyter 2025-06-01
Series:Nanotechnology Reviews
Subjects:
machine learning approach
coriolis force
motile microorganism’s
dusty nanofluid
activation energy, radiation
Online Access:https://doi.org/10.1515/ntrev-2025-0179
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1515/ntrev-2025-0179

Similar Items