Optimized ANN-based bio-thermodynamic modeling of unsteady flows with coupled nanoparticle–microbial–activation-energy transport in heterogeneous porous media

Researchers have developed a new bio-thermodynamic modeling approach for unsteady flows within heterogeneous porous media. This advanced model integrates the transport of nanoparticles and microbes, along with activation energy considerations. The methodology utilizes artificial neural networks (ANNs) to achieve optimized simulation results for these complex systems.

This development offers a more accurate way to understand and predict fluid behavior in porous environments, which is crucial for applications like groundwater remediation and enhanced oil recovery.