Dijo-404/

mhd-nanofluid-ev-thermal-dataset

Synthetic physics-based dataset for training ML surrogate models for electric vehicle battery thermal management using MHD hybrid nanofluid cooling.

5,000 samples generated via Latin Hypercube Sampling from governing equations of MHD hybrid nanofluid flow (continuity, Navier-Stokes + MHD, energy with viscous dissipation/Joule heating).

	Input Features (3)




	

Feature Symbol Range… See the full description on the dataset page: https://huggingface.co/datasets/Dijo-404/mhd-nanofluid-ev-thermal-dataset.